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Augmentastic – redefining reality

The platform for 3D and augmented reality product visualization

3D and augmented reality product visualization platform | Augment

Augmentastic, is the perfect amalgamation of the real world with the virtual one, thus adding to your real-life experiences. Augmented reality adds information and meaning to a real object or place. redefining entertainment, games, advertising with augmented reality

Augmentastic PVT. LTD | LinkedIn

We are an Augmented Reality (AR) Developer and Augmented Realism Agency. One stop AR solutions and project development. Located in Los Angeles and Vancouver BC

Augmently : Augmented Reality Developer. Augmented Realism Agency

Augmentastic || Augmented Reality: Redefining Reality || redefining advertising, media, gaming, e-learning and more. View company info, jobs, team members, culture, funding and more.

Augmentastic || Augmented Reality | AngelList Talent

Augment created a mobile app of the same name, used to visualize 3D models in augmented reality and a web application called Augment Manager for 3D content management. The company is based in Paris, France, and was founded in October 2011 by Jean-François Chianetta, Cyril Champier, and Mickaël ...

Augment (app) - Wikipedia

Founded in 2014, Augmentastic is a bootstrapped company based in Pune. It has 6-50 employees currently and works in the domain of Augmented Reality, Mixed Reality, IoT, more... Augmentastic, offers an amalgamation of innovative design and interactive technology to create a successful business ...

4 Augmentastic Pvt. Ltd. Jobs in India | Augmentastic Pvt. Ltd. ...

Augmentastic, offers an amalgamation of innovative design and interactive technology to create successful business environment. Solutions that covers the length and breadth of communication for our clients. Headquartered in Pune, India based firm with deep domain expertise and global exposure in the arena of Internet, Graphics, Web, Mobile and emerging Technologies like Augmented reality...

Augmentastic Pvt. Ltd. | Reviews & Profile - Bluerang

Augment IT develops tailored, interactive, immersive Augmented Reality, Virtual and Mixed reality solutions for all fields of industry

Augmented Reality Software for Enterprises - Augment IT

Some AR applications, such as Augment, ... to use augmented reality devices as a way to preview their products in the real world. Similarly, it can also be used to demo what products may look like in an environment for customers, as demonstrated by companies such as Mountain ...

Augmented reality - Wikipedia

Augment is an ARCore-based* mobile app to visualize 3D models in Augmented Reality, integrated in real time in their actual size and environment. Augment is the perfect Augmented Reality app to boost your sales, engage your customers or simply bring your ideas to life.

Augment - 3D Augmented Reality - Apps on Google Play

Augmentastic Private Limited’s Technology Stack maps Augmentastic Private Limited’s participation in the analytics and modeling IoT Technology stack. ... Start adding your own! Register with your work email and create a new supplier profile for your business. ... DAQRI is the world’s leading enterprise Augmented Reality company ...

Augmentastic Private Limited - Industrial IoT Supplier Profile ...

Explore Magic Leap AR for business. Improve your organization&#x27;s training, 3D visualization, collaboration, and remote assistance workflows.

AR for Business | Magic Leap

Apply privately to 130,000+ remote jobs and startup jobs near you with one application. See salary and equity upfront. Find the latest tech jobs, company overviews, benefits and more at Wellfound (formerly AngelList Talent).

Top Augmented Reality Startups in 2024

Fast Company is the world&#x27;s leading progressive business media brand, with a unique editorial focus on innovation in technology, leadership, and design.

Fast Company | Business News, Innovation, Technology, Work Life ...

Augmentastic, an augmented reality software and solution provider

AUGMENTASTIC

Much has been made of digital transformation within the automotive industry, but the influence of reality technology has flown under the radar a little. However, is already cropping up throughout the industry with a series of exciting use cases that could herald a new era of driver safety and manufacturing efficiency. augmented reality The augmented reality (AR) market is set to surpass a value of , representing a CAGR of 46.8%. With such rapid growth anticipated, it’s inevitable that the technology will make its presence felt throughout the automotive industry. $97.76 billion by 2028 But how could AR help to improve the driving experience and road safety? Let’s explore five key reasons why augmented reality could bring vast improvements to the world of motoring: Heads-Up Navigation The role of augmented reality in the automotive industry is nothing new, and we can look back to Mercedes-Benz’s implementation of the technology in 2020 as a watershed moment in the utility of AR as a driving aid. Rather than using dashboard displays, Mercedes-Benz opted for an within its GLE model. This utility of augmented reality enabled the display of navigational instructions and information to be displayed over objects in real-time through a live camera view within the car’s dashboard. AR navigation screen The result was a driving experience that’s been unparalleled within the world of motoring. Drivers were treated to turning instructions, highlighted street names, addresses, and live terrain tracking to help provide more comprehensive levels of guidance without forcing the driver to look away from the road ahead. As continues to mature, we’re likely to see these heads-up navigational displays become more refined, helping to deliver live feedback in an unintrusive manner to help inform the decisions of drivers. augmented reality technology Augmented Car Manuals Augmented reality car manuals can be a great innovation for owners who could benefit from more visual and in-depth guidance on how to conduct maintenance on their vehicles. For tasks like replacing an air filter, AR manuals can offer to pave the way for flawless repair work. step-by-step immersive guidance This can also help owners to better acquaint themselves with their car’s functions through visual tutorials and actionable guides. could also be used in repairing damage to a vehicle. For instance, if a big data mechanism detects a cracked windshield, it could visually alert the driver to the crack, highlight the risk it poses, and suggest windshield crack repair options for owners to act on. This mechanism AR Showrooms There’s nothing more frustrating than having a customer visit a showroom to find that the model they’ve been researching isn’t in stock. With more cars offering vast ranges of features, colors, and mechanisms, it can be hard for interested customers to fully get to grips with the model they would like. This is where augmented reality and digital showrooms can come into play. By integraging of the vehicle and its correct mod-cons, customers can interact with their chosen car and add or remove features on the fly. detailed 3D renderings By exploring their chosen car in full augmented reality, it can vastly improve the customer experience throughout the buying process and pave the way for far greater satisfaction levels with the end result. Better Blindspot Control Another major benefit in terms of driver performance and safety comes in the form of augmented parking assistance and blindspot sensors. During the parking process, augmented reality can help to when reversing, adding an extra layer of protection when parking. This can also be applied to the blind spots concealed by the pillars between windows in a vehicle. By offering an augmented view of the objects around the driver when reversing, it can be a great asset in ensuring that no collisions can take place. visualize objects Enhanced Prototype Design Augmented reality can also be a major time-saving tool in the development of for new concepts. operational prototypes While modelling is a major part of the process, both augmented and virtual reality designers and endineers can offer more flexibility in modifying early-stage concepts and overcoming perceived limitations along the way. Reality technology can help to add new ideas on to a concept in the exact way they would appear on a physical model, helping to offer more creative freedom at less of a cost. Furthermore, both AR and VR can deliver different means of bench testing, helping to better explore prototypes, their functionality, and durability in the face of different simulated conditions. Welcoming Augmented Transformation The has been ripe for digital transformation when it comes to both the manufacturing process and ensuring the safety of drivers, but augmented reality stands as an opportunity to improve efficiency in these fields while also saving money in cases relating to manufacturing. automotive industry While much has been made of the growth of artificial intelligence, it may well be augmented reality that proves to be the smartest new tool at the disposal of manufacturers and motorists.

Automotive Augmentation: How AR is Changing the Driving Experience Forever

In machine learning, it is crucial to have a large amount of data in order to achieve strong model performance. Using a method known as data augmentation, you can create more data for your machine learning project. Data augmentation is a collection of techniques that manage the process of automatically generating high-quality data on top of existing data. In computer vision applications, augmenting approaches are extremely prevalent.If you are working on a computer vision project (e.g Image classification), for instance, you can apply dozens of techniques to each image: shift, modify color intensities, scale, rotate, crop, etc. If you have a tiny dataset for your ML project or wish to reduce overfitting in your machine learning models, it is recommended that you may apply data augmentation approaches. “We don’t have better algorithms. We just have more data.”- Peter Norvig In the field of Natural Language Processing (NLP),the tremendous level of complexity that language possesses, makes it difficult to augment text. The process of augmenting text data is more challenging and not as straightforward as some might expect. In this article, you will learn how to use a library called to improve data for natural language processing. TextAttack What is TextAttack? TextAttack is a Python framework that was built by the for the purpose of conducting adversarial attacks, adversarial training, and data augmentation in natural language processing. TextAttack has components that can be utilized independently for a variety of basic natural language processing tasks, including sentence encoding, grammar checking, and word substitution. QData team TextAttack excels in performing the following three functions: Adversarial attacks (Python: , Bash: ). textattack.Attack textattack attack Data augmentation (Python: , Bash: ). textattack.augmentation.Augmenter textattack augment Model training (Python: , Bash: ). textattack.Trainer textattack train For this article, we will focus on how to use TexAttack library for Data augmentation. Note: How to Install TexAttack To use this library make sure you have python 3.6 or above in your environment. Run the following command to install textAttack. pip install textattack Once you have installed TexAttack, you can run it via python module or via command-line. Note: Data Augmentation Techniques for Text Data TextAttack library has various augmentation techniques that you can use in your NLP project to add more text data.Here are some of the techniques that you can apply: It augments words by swapping characters out for other characters. 1.CharSwapAugmenter charswap_aug = CharSwapAugmenter()
charswap_aug.augment(text) from textattack.augmentation import CharSwapAugmenter text = "I have enjoyed watching that movie, it was amazing." ['I have enjoyed watching that omvie, it was amazing.'] The Augmenter has swapped the word to . "movie" "omvie" It augments the text by deleting some parts of the text to make new text. 2.DeletionAugmenter deletion_aug = DeletionAugmenter()
deletion_aug.augment(text) from textattack.augmentation import DeletionAugmenter text = "I have enjoyed watching that movie, it was amazing." ['I have watching that, it was amazing.'] This method has removed the word to create a new augmented text. "enjoyed" This augments the text with a combination of different methods, such as 3.EasyDataAugmenter Randomly swap the positions of the words in the sentence. Randomly remove words from the sentence. Randomly insert a random synonym of a random word at a random location. Randomly replace words with their synonyms. eda_aug = EasyDataAugmenter()
eda_aug.augment(text) from textattack.augmentation import EasyDataAugmenter text = "I was billed twice for the service and this is the second time it has happened" ['I was billed twice for the service and this is the second time it has happen', 'I was billed twice for the one service and this is the second time it has happened', 'I billed twice for the service and this is the second time it has happened', 'I was billed twice for the this and service is the second time it has happened'] As you can see from the augmented texts, it show different results based on the methods applied.For example in the first augmented text, the last word has been modified from to . "happened" "happen" It can augment the text by replacing it with synonyms from the WordNet thesaurus. 4.WordNetAugmenter wordnet_aug = WordNetAugmenter()
wordnet_aug.augment(text) from textattack.augmentation import WordNetAugmenter text = "I was billed twice for the service and this is the second time it has happened" ['I was billed twice for the service and this is the second time it has pass'] This method has changed the word to in order to create a new augmented text. "happened" "pass" Importing transformations and constraints from the and t allows you to build your own augmenter from the ground up. The following is an illustration of the use of the to produce augmentations of a string: 5.Create your Own Augmenter textattack.transformations extattack.constraints WordSwapRandomCharacterDeletion algorithm my_transformation = CompositeTransformation([WordSwapRandomCharacterDeletion()]) augmenter.augment(text) from textattack.transformations import WordSwapRandomCharacterDeletion from textattack.transformations import CompositeTransformation from textattack.augmentation import Augmenter augmenter = Augmenter(transformation=my_transformation, transformations_per_example= 3 ) text = 'Siri became confused when we reused to follow her directions.' ['Siri became cnfused when we reused to follow her directions.', 'Siri became confused when e reused to follow her directions.', 'Siri became confused when we reused to follow hr directions.'] The output show different augmented texts after implementing the method.For example, in the first augmented text, the method randomly removes a character in the word WordSwapRandomCharacterDeletion "o" "confused". Conclusion In this article, you have learned the significance of data augmentation for your Machine Learning project. In addition, you have learnt how to execute data augmentation for textual data using the TextAttack library. To the best of my knowledge, these techniques are the most effective approaches available to do the task for your NLP project.Hopefully, they'll be of use to you in your work. You can also try to use other available augmentation techniques from TextAttack library such as: EmbeddingAugmenter CheckListAugmenter CLAREAugmenter If you learned something new or enjoyed reading this article, please share it so that others can see it. Until then, see you in the next post! You can also find me on Twitter . @Davis_McDavid

How to Perform Data Augmentation in NLP Projects

The quantity and diversity of data are important factors in the effectiveness of most machine learning models. The amount and diversity of data supplied during training heavily influence the prediction accuracy of these models. Hidden neurons are common in deep learning models that have been trained to perform well on complex tasks. The number of trainable parameters grows in unison with the number of hidden neurons. The amount of data needed is proportional to the number of learnable parameters in the model. Applying a range of transformations to the available data to synthesize new data is one technique to cope with the challenge of limited data. 'Data Augmentation' refers to the process of synthesizing new data from existing data. Data augmentation can be utilized to address both requirements; the amount of data and the diversity of the training data needed to create an accurate machine learning model. What is Data Augmentation is a set of techniques used to increase the amount of data in a machine learning model by adding slightly modified copies of already existing data or newly created synthetic data from existing data. It helps smooth out the machine learning model and reduce the of data. Data augmentation overfitting Techniques Images are modified slightly and then added to the data sets used in machine learning models. Some techniques used to augment images for machine learning algorithm datasets are: Geometric transformations Elastic transformations Flipping Color modification Cropping Rotation Translation (moving the image in the x or y direction) Noise injection Zoom and scaling Random erasing The original image of a Quoka on the left, with various augmented versions of the image on the right. Source: http://ai.stanford.edu/ Benefits of Data Augmentation A machine learning model performs better and is more accurate when the dataset is rich and comprehensive. By creating fresh and varied instances to train datasets, data augmentation can help improve the performance and results of machine learning models. Data collection and labeling can be time-consuming and costly for machine learning models. Companies can lower these operational costs by transforming datasets using data augmentation techniques. Cleaning data is one of the phases required in creating a data model with a high accuracy level. However, if data cleaning reduces representability, the model will not make accurate predictions for real-world inputs. Machine learning models can be made more robust via data augmentation approaches, which create several variances that the model might encounter in the actual world. Use Case: Medical Imaging A major use case for data augmentation at the moment is medical imaging. The datasets for medical images aren’t very big, and because of regulations and privacy issues, sharing data isn’t easy. Furthermore, in the event of rare diseases, the data sets are even more limited. Medical imaging firms are using data augmentation to add diversity to their data sets. Conclusion Businesses can use data augmentation to lessen their reliance on training data preparation and develop more accurate machine learning models faster. Data augmentation can also help machine learning models with lots of data already by increasing the amount of relevant data in the dataset. Also published here . I am helping clients identify and invest in Emerging Technologies early on so that they can innovate and grow exponentially. Follow Lansaar Research for the latest in emerging technologies and new business models.

A Gentle Introduction to Data Augmentation

3 Reasons Why You May Consider Staff Augmentation IT staff augmentation is considered one of the best ways to boost your software development. When incorporating in-house expertise, external developers could bring you the most remarkable value ever. The most frequent reasons why product development companies choose to augment IT staff usually include: The lack of human resources in the local market The need for specific tech skills or expertise The need to optimize development costs Let’s discuss this in detail. 1. The lack of human resources in the local market. Today, acquiring top tech specialists is hard enough. Statista reported recently that IT functions suffered from a skills shortage according to IT leaders globally in 2020. The lack of resources is a serious concern, especially for product software companies that are often driven by investments and quick ROI requirements. Finding a reliable staff augmentation partner with a technology background will ensure on-time hiring of top talent. 2. The need for specific tech skills or expertise. As mentioned above, the IT skills gap is a real problem that especially makes growing startups and SaaS companies suffer. Oftentimes, having enough workers isn’t enough to execute the company’s business strategy. Writing code in Java, for instance, is not the same as understanding how this code will contribute to the project’s success. That’s why it’s instrumental in finding those people that have a good understanding of your niche. 3. The need to optimize costs for development. Often, local developers’ rates in the USA or Canada may cost you a fortune, whereas finding similar specialists overseas at more reasonable rates will help you optimize the costs. It makes sense when you need a large number of specialists, say, beginning at 10. Besides, you won’t need to spend on organizing a workplace and providing hardware for work which also helps save cash. Are staff augmentation and project outsourcing the same? SaaS companies and startups are the ones that understand the difference between these two notions better than anyone else. However, even they confuse the terms. So, let’s briefly go over the differences. Staff augmentation is all about adding additional skills to reach the project goals, while outsourcing is acquiring full-time resources from another software vendor to execute the entire project. Both delivery models have their pros and cons. For example, if you choose to outsource, you won’t be able to control the project fully as projects are usually managed by PMs on the vendor’s site. However, in case of staff augmentation, your new team members will report to your PMs directly. So, what other benefits of staff augmentation do you know? 3 Most Remarkable Benefits of IT Staff Augmentation 1. Quick hiring Among the most significant benefits of IT staff augmentation partnerships are getting the required, very often unique, tech skills faster than if you had to hire those by yourself. As an outsourcing company from Ukraine, , says, DICEUS “Very often, SaaS businesses come to us and ask to find top developers in the shortest time possible. There were cases when we were pressed by time and had to provide experts in just 2-3 days, but thanks to our huge database, we could cope with that.” Today, global technology companies are suffering from unfilled positions, which typically causes delays. Hiring IT staff usually takes much time as much effort should be spent to do it appropriately. The hiring process usually involves creating a detailed job description with specific requirements on hard and soft skills, looking through the dozens of applications, interviewing candidates, checking test assignments, and so on. All these activities can take months that you might not be able to afford. How can staff augmentation help you? Usually, partners offering staff augmentation already have lists of potential candidates that may fit your project. And that's the most advantageous aspect of their services as it cuts down the time it takes them to find the right resources. Typically, it takes from 2 to 4 weeks to recruit people with the required set of skills. 2. Well-organized onboarding According to Glassdoor, it costs $4,000 and around 50 days for the US company to fill a position. Recruiting the right staff is an expensive process that must be further proceeded with a well-planned onboarding and training. How to make this process more effective and optimize costs and time for onboarding? Here’s a little secret tip – partner with a functioning software development company offshore. Usually, outsourcing providers offer staff augmentation and are much better at finding the right resources than a typical recruiting agency. And here’s why – they do this for themselves regularly. To continually scale up the development, these companies act the same as you. They recruit, screen, interview lots of candidates, and already have dozens of CVs. What you get by partnering with such businesses – access to a vast talent pool and a great bonus – a good understanding of how to onboard developers, test engineers, business analysts, etc. High retention rate Keeping oversight of performance and providing benefits is time-consuming and expensive. By augmenting staff, you can rely on the external vendor in dealing with these matters. When partnering with an outsourcing company, you can rest assured that they will take care of retaining employees. Usually, they ensure an excellent work environment and conditions as well as a certain number of perks. Besides, regular one-to-one meetings are held when HR specialists speak with your employees to discover any issues they might have and solve those to avoid attrition. 7 Indicators to Understand that Staff Augmentation is the Right Choice for You Here are some obvious signs indicating that staff augmentation is the best option for you: You would like or urgently need to optimize costs for recruiting, onboarding, and retaining employees. Your team members often work overtime, are stressed and are likely to burn out. Your in-house staff doesn’t have the required technology or niche expertise. You are driven by external investments and need to accelerate the time-to-market. You don’t have enough specialists required for a particular development cycle, like more testers for functional testing or more DevOps for deployment. Your project is growing rapidly, and you need to continually scale up resources. You would like to focus on the core business model or product marketing instead of always being busy with delivery operations. How to Quickly Hire Highly Skilled Developers Highly skilled developers can be hired only if the hiring process includes all of the critical stages. Here is how it works. , your recruiting partner should create a detailed job description based on your requirements. The latter should include all the required soft and hard skills, roles and responsibilities, and a project description. You must approve the description. Firstly , your vendor will score all the available resources on their local markets and collect CVs that are further handed over to you. , you will be able to select the CVs that match your expectations from the candidate and provide test assignments. Secondly Next , you will provide your feedback. Some partners provide a more interesting option – their own tech leads can check the test tasks and provide feedback. If the candidate passes a test, you will have an interview with him or her. Once the tests are completed , if all feedback is positive, your hiring partner will send a job offer to the candidate and ensure onboarding. Finally Usually, such a process lasts months if you have no previous experience in hiring many people simultaneously or searching for unique tech skills. A recruiting partner with a tech background will do this in a few weeks or even days. 4 Things to Consider When Augmenting Offshore Developers Below are four recommendations you will hardly find elsewhere on the internet. These are the top things to consider while hiring offshore developers via a recruiting agency or an outsourcing company according to the staff augmentation model. Be sure that your vendor knows and understands what a seniority level matrix is. Typically, it’s a card according to which you could measure the developers’ level of experience and competence. For example, a senior developer should have 5+ years of experience, understand business logic, have problem-solving skills, be a mentor and leader. Surely, the description is much longer, and each company can have its own matrix. Seniority level matrix. An account manager or a dedicated account manager is a point-of-contact person provided by a vendor, but acting as your advocate. This person is responsible for answering your questions and solving your problems. Sometimes, it’s hard to find a responsible person who could help you. Instead of looking for who you may contact, you already have a dedicated manager. Account management. Pay attention to what workplace environment and conditions your partner offer to employees. Ask what benefits they provide. It may be anything: a yearly insurance package or free English classes, or many other things. However, whatever they offer, you could discuss additional perks that you could provide from your side. Also, your partner should ensure regular one-to-one meetings for employees to timely spot out any problems they might have. Such practices, combined with the development plans, usually provide a high employee retention rate. Retention practices. Developer rates are as instrumental in decision-making as their competence level. However, don’t let others hook you on low rates. Don’t choose developers only because their rates are low. Weigh their skills, experience, and relevant niche expertise to make the right decision. Rates vs. competence. To sum it up, tech staff augmentation is best suited for long-term product development, dynamic and agile environments to address a continually growing number of needs. To succeed in staff augmentation, rely on providers with a strong tech background as they understand your processes better than anyone else.

A-To-Z Guide on Staff Augmentation for Tech Companies: Hiring Top Developers  

This article was written entirely by GPT-J. It is published here unedited. You can try GPT-J for free. here Artificial intelligence has become a common tool in today’s business world, and it’s no wonder. AI has been programmed to solve problems that have baffled human beings since the dawn of time. Think of all the things that can be automated — from fetching the best price for a car to predicting what’s in a package with the use of AI. Unfortunately, however, AI is not perfect. Deep learning is a specific type of AI that is excellent at identifying patterns, but it suffers from a problem called “overfitting,” which can cause AI to become too dependent on a specific set of data and lose its ability to generalize. Data augmentation is one of the most effective ways to combat overfitting. In this article, we’ll explore how data augmentation works and how it can be used in machine learning to improve the performance of a model. What is data augmentation? Data augmentation is a creative process that involves manipulating data. It involves creating artificial data that is similar, but not identical, to the data you are working with. In the context of machine learning, data augmentation is a process that makes a dataset more complex by adding random noise to it or by changing the values of the data. This allows the model to learn to recognize patterns in the augmented dataset instead of simply memorizing the original dataset. Data augmentation creates more data, so you can train your model with a larger dataset and improve the performance of the model. For example, if you have a dataset of 10,000 pictures and you add random noise to each of them, you will end up with a dataset of 20,000 pictures. This process is called “data generation.” In the context of machine learning, data augmentation is a process that makes a dataset more complex by adding random noise to it or by changing the values of the data. Data augmentation can also be used to prevent overfitting. If you have a model with 20 parameters, but you create a dataset with 100,000 pictures, the model will be able to learn to recognize patterns in the augmented dataset instead of simply memorizing the original dataset. How do you use data augmentation in machine learning? Data augmentation is not a new concept in the world of machine learning. It was first introduced in 1974 by Frank Rosenblatt, a pioneer in AI, as a way to create artificial data to increase the size of a dataset in order to train a model. Data augmentation usually involves creating artificial data by adding random noise to the original data. For example, you can take a dataset of pictures of a cow and add noise to the images to create a dataset of pictures of a cow and a bunch of random objects. Another approach that can be used to create artificial data is to change the values of the data. For example, you can apply a random rotation to a dataset of images and then add noise to the rotated images. How does data augmentation work? Data augmentation can be used in two ways. It can be done by the model or by a third party, depending on the type of data that you are working with. In the context of a model, you can add noise to the original data and then do the same thing to the data generated from the original data. In essence, you create artificial data that is similar to the original data and feed it to the model. To do this, you need to generate a new set of data that is similar to the original data. To generate the new data, you need to randomly select values for the new data.

How Will Data Augmentation Affect Machine Learning?

In machine learning and deep learning, having more data is very important to help you get good performance from your models. You can create more data by using a technique called is a technique used by practitioners to increase the data by creating modified data from the existing data. data augmentation. Data augmentation “We don’t have better algorithms. We just have more data.”- Peter Norvig It is a good practice to use data augmentation techniques if you have a small dataset for your project or you want to reduce overfitting in your ML or deep learning (DL) models. In this article, you will learn how to perform data augmentation by using a new open-source library from Facebook called Augly. What is Augly? AugLy is a data augmentation library that can help you evaluate and improve the robustness of your models. The library supports four modalities (audio, video, image, and text) and it contains over 100 ways to perform data augmentations. If you are working on a machine learning or deep learning project that uses audio, videos, images, or texts datasets, you can use this library to increase your data and improve your model performance. The library was developed by Joanna Bitton — a software Engineer at Facebook AI, Zoe Papakipos — Research Engineer at FAIR, and other researchers and engineers at Facebook. The library has been used in different projects such as: - a NeurIPS 2021 competition run by Facebook AI with $200k in prizes. It has produced the DISC21 dataset, which will be made publicly available after the challenge concludes! Image Similarity Challenge - a Kaggle competition run by Facebook AI in 2020 with $1 million in prizes; also produced the DFDC dataset. DeepFake Detection Challenge - a near-duplicate detection model developed at Facebook AI to identify infringing content on the platforms. SimSearchNet How to Install Augly AugLy is a Python 3.6+ library. It can be installed with: pip install augly The above command installs only base requirements to use the image and text modalities. For audio and video modalities, you can install the extra dependencies required with Note: pip install augly[av] In some environments, pip doesn't install python-magic as expected. In that case, you will need to additionally run: conda install -c conda-forge python-magic Data Augmentation Techniques for Text Data The first step is to import which contains augmentation techniques for text data. text modality augly.text textaugs import as Then create a simple text input. input_text = # Define input text "Hello, world! Today we learn Data Augmentation techniques" Now we can apply various augmentations as follows: (a) Simulates Typos Simulates typos in each text using misspellings, keyboard distance, and swapping techniques. print(textaugs.simulate_typos(input_text)) Hello, world! Today ew leanr Dtaa Augmentation techniques As you can see this technique adds some misspellings and swapping on some of the words of text. (b) Insert Punctuation Chars You can insert punctuation characters in each input text. print(textaugs.insert_punctuation_chars(input_text)) ['H,e,l,l,o,,, ,w,o,r,l,d,!, ,T,o,d,a,y, ,w,e, ,l,e,a,r,n, ,D,a,t,a, ,A,u,g,m,e,n,t,a,t,i,o,n, ,t,e,c,h,n,i,q,u,e,s'] (c) Replace Bidirectional This technique reverses each word (or part of the word) in each input text and uses bidirectional marks to render the text in its original order. It reverses each word separately which keeps the word order even when a line wraps. print(textaugs.replace_bidirectional(input_text)) ['\u202eseuqinhcet noitatnemguA ataD nrael ew yadoT !dlrow ,olleH\u202c'] (d) Replace Similar Characters This replaces letters in each text with similar characters. print(textaugs.replace_similar_chars(input_text)) Hello, wor7d! T()day we learn Data Augm3^tati[]n techniques As you can see the character has been replaced with number , character has been replaced with , character “e” has been replaced with number and then the character has been replaced with “l” 7 “o” “()” 3 “o” “[]”. (e) Replace Upside Down This flips words in the text upside down depending on the granularity. print(textaugs.replace_upside_down(input_text)) sǝnbᴉuɥɔǝʇ uoᴉʇɐʇuǝɯɓnⱯ ɐʇɐᗡ uɹɐǝl ǝʍ ʎɐpoꞱ ¡plɹoʍ 'ollǝH (f) Split Words This function splits words in the text into subwords. print(textaugs.split_words(input_text)) He llo, world! To day we learn Data Augmentation techniques Data Augmentation Techniques for Image Data The first step is to import with its dependencies which contain augmentation techniques for image data. image modality os augly.image imaugs augly.utils utils IPython.display display import import as import as from import Now we can apply various augmentations as follows: (a) Image Scaling The scale function can help you to alter the resolution of an image. You can use an argument called to define the ratio by which the image should be downscaled or upscaled. factor input_img_path = input_img = imaugs.scale(input_img_path, factor= )
display(input_img) "images/simple-image.jpg" # We can use the AugLy scale augmentation 0.2 (b) Blurs the Image In this function, the larger the radius the blurrier the image. input_img = imaugs.blur(input_img, radius= )
display(input_img) 5.0 (c) Change the Brightness of the Image To change the brightness you need to adjust the argument in this function. Values less than 1.0 darken the image and values greater than 1.0 brighten the image. Setting the factor to 1.0 will not alter the image's brightness. factor Let's set factor's value  be 1.5. input_img = imaugs.brightness(input_img,factor= )
display(input_img) 1.5 Then let’s set the factor's value to to make it darker. 0.5 input_img = imaugs.brightness(input_img,factor= )
display(input_img) #make it darker 0.5 (d) Changes the Aspect Ratio of the Image In this function, the aspect ratio is the of the new image you want to create. width/height input_img = imaugs.change_aspect_ratio(input_img, ratio= )
display(input_img) 0.8 (e)Alters the Contrast of the Image In this function the argument handle everything, When you set the factor to zero, it gives a grayscale image, values below 1.0 decreases contrast, factor A factor of 1.0 gives the original image, and a factor greater than 1.0 increases the contrast. input_img = imaugs.contrast(input_img,factor= )
display(input_img) 1.7 (f) Crop the Image To crop the image, you need to define the position of the left, right top and down the edge of the cropped image. input_img = imaugs.crop(input_img,
                        x1= ,
                        x2= ,
                        y1= ,
                        y2= )
display(input_img 0.25 0.75 0.25 0.75 Final Thoughts on Data Augmentation with Augly Library In this article, you have learned the importance of data augmentation in your ML or DL project. Also, you have learned how to perform data augmentation with augly library for image and text data. As I have explained before, the library has over and most of them were not covered in this article. 100 augmentation techniques If you want to learn how to perform data augmentation for audio and video data, please read in the for each modality! README Audio - https://github.com/facebookresearch/AugLy/tree/main/augly/audio Video - https://github.com/facebookresearch/AugLy/tree/main/augly/video If you learned something new or enjoyed reading this article, please share it so that others can see it. Until then, see you in the next post! You can also find me on Twitter . @Davis_McDavid And you can read more articles like this . here Want to keep up to date with all the latest in python? in the footer below Subscribe to our newsletter

How to Perform Data Augmentation with Augly Library

The article highlights essential steps each business needs to make to gain maximum value from its staff augmentation endeavor and how augmented teams affect digital transformation and boost the growth of creative industries. Today, thousands of small and micro-businesses that work at the intersection of cutting edge technology and creativity appear to be the harbinger of an entirely new economic order that provides a new paradigm for how we do and organize business, educate younger generations, and measure value. This paradigm makes a significant impact on every single aspect of our life, including how modern cities are planned and built. The rapid growth of artificial intelligence and automation, which herald the 4th Industrial Revolution, has undoubtedly affected employment globally. The lack of interest in STEM and computer engineering education was observed in the developed world a decade ago. It led to situations when countries like the USA and South Korea, which have traditionally pioneered and cultivated innovative technologies, suffer today from the lack of talent who’s supposed to bring their creative ideas to life. Besides, there’re countries like Israel which are ahead of the curve in terms of R&D and investments in innovative solutions but which have small domestic talent pools co-measurable with the country’s population. In the UK alone, the creative industry has already smashed through the £100 billion mark in value. It employs 2 million people. However, as The Edge Foundation , . Unsurprisingly, in the months to come. Does it mean the end of the creative economy in the UK? highlights the UK is already losing £63 billion a year because of 600,000 unfilled vacancies in digital technology 89% of employers feel that the tech skills shortage will affect them seriously According to the US Bureau of Labor Statistics, . Does it mean the US creative industry will stagnate and stymie? Not at all. It only means that, like today, there will still be two types of businesses in the future: those that go beyond local market limitations and realize the power of globalization and collaboration, and those that still rely on local talent pools and building in-house expertise. Isn’t it obvious who’ll be more successful? by 2026, the entire IT workforce need will exceed 1.2 million To ensure business continuity and jump fast on innovation bandwagon, you should be flexible scaling your software engineering workforce up and down depending on your current project needs and investment size or cash flow. Therefore, you must have a well-crafted team scaling strategy put in place, aligned with company goals and needs, and approved by all stakeholders. To grow your dev muscles, your brand needs to transform digitally and become . Software development outsourcing is a standard way to do more for less that companies all over the world have been using for a while to save costs and improve top-line growth. data-savvy With the global market size of outsourced application development services at , staff augmentation is the most popular engagement model. estimated $85.6 billion Staff augmentation (aka team extension) is a typical software development outsourcing strategy that organizations use globally to rapidly scale up their internal teams and better meet their project development and technology needs. By extending and distributing staff (i.e., hiring external specialists to work for the company as full-time contractors or part-time consultants), you can bridge the knowledge gap, significantly speed up your time to hire and time to market, and in-source new expertise and competencies from a staff augmentation provider. According to the World Economic Forum 2018 , between one-half and two-thirds of companies are likely to use outsourcing services, as well as involve temporary employees and freelancers as ad-hoc resources to existing software dev teams. Report Expansion of tech talent teams offers many benefits, including fast project execution times, flexibility in scalability when needed, and access cost-effective yet highly-qualified developers. By encouraging clear communication, business continuity, use of project management and productivity tools, , and (DDD), companies have a better chance to succeed with their technology solutions development project. clean code documentation-driven development However, many companies don't know how to get the most out of staff augmentation services they use. Here are some tips and suggestions. 1. Foster clear and open communication According to , of employees and senior executives cite the lack of collaborative cooperation or ineffective communication as the primary cause of workplace failures. Salesforce 86% Another study by finds that of screwed-up projects are related to the lack of communication. OSF Global 70% Clear communication is essential to the success of every development project, no matter if it’s in-house or outsourced. Processes should be established early in the development cycle to ensure transparency and open communication among stakeholders down the road. When you use staff augmentation, make sure to be as clear and detailed in what you want to achieve with this scaling strategy, what limitations you’re likely to encounter, how you plan and manage software projects internally, what corporate culture you have, etc. Staff augmentation implies that you, as a client, manage your project and bear full accountability for milestones delivery and the outcome. Nonetheless, it’s the job of your outsourcing provider to supply candidates for your defined positions, build a team and onboard each member, and integrate your extended or dedicated offshore team into your corporate culture. As such, the more you trust your staff augmentation provider, the more details you’ll share and the more common mistakes you’ll be able to avoid down the road. Messengers and productivity tools such as , , or stimulate the exchange of ideas between you and your outsourcing partner. Slack WhatsApp Trello Here's an important tip to share – . Try to find one that can either let you test drive your augmented staff for several days for free and give you a fast employee replacement option if you aren't satisfied with a particular resource. Alternatively, start your staff augmentation engagement with a pilot project (e.g., a PoC development or non-core dev tasks) to check the provider’s responsiveness and competence as well as overall attitude and how they treat you as a client. The rule of thumb here is to start small, observe, make conclusions, and scale. always have a face-to-face discussion with your provider before signing a contract and making commitments 2. Define roles and evaluate work processes Defining the roles of everyone involved in your project team ensures that commitments are met. Both internal and external developers need to understand the basic principles of your project and how they fit into your vision. At this stage, make sure to appoint project and/or team leaders to ensure that individual tasks are performed promptly and according to expectations. Clearly defined roles also provide developers with a platform for sharing ideas and feedback. To use staff augmentation effectively, start with the implementation of team development workflows. All employees should be aware of all the project development stages and nuances, including when meetings are scheduled, what tasks have been assigned and to whom, etc. A documented workflow ensures that your external staff can easily fit into the team and make a positive impact. Don’t forget that staff augmentation is well suited for both long-term strategic software development and short-term tactical endeavors. I highly recommend that you engage with a provider that offers fractional resource allocation, i.e., an extremely lean model where you pay for what you actually use. Let’s say you’ve determined in this step that you need a QA guy for just two full workdays of the week, not all five. While most providers (you’ll be contacting with your quote requests) will insist that you high a full-time resource (who’ll be sitting on their hands for 60% of the time and wasting your money), there’re some that will supply a required resource for a specified period. That’s like applying a T&M model to staff augmentation. Also, some staff augmentation companies today use a shared pool of talent to avoid keeping the so-called bench, i.e., billable employees who have idle time as a result of project completion or role elimination and wait for a new project to join. It costs money to keep inactive people on teams, so crowdsourcing candidates from the same pool makes sense, especially for smaller boutique-style providers. Access to the shared pool of pre-vetted talent (i.e., your provider’s recruitment consultants have checked each person’s background and portfolio, verified job references, and made a conclusion that the person is a good match for role on your project team) allows your staff augmentation partner to plan your team scaling in advance and with better precision and increase your time to hire 2-3x compared to providers with an internal bench. Once you have your core roles defined and the augmented team set up, sourcing talent from a shared pool to fill your vacancies in peak times proves effective. In countries that offer staff augmentation, labor legislation isn’t as rigid as in North America or within the EU. For instance, in Ukraine, which is indisputably the (with its and counting), around are employed as direct-hire consultants and can be dismissed with a 14-days notice. leader for outsourced software development in Europe pool of 180,000 tech specialists 90% of all specialists working for staff augmentation companies Also, when it comes to remuneration, the total cost of an employed software developer based in Ukraine is 3-4x lower than in the USA or 2x lower than in Israel. It's attributed to the fact that their salary already includes all taxes, social benefits, and indirect costs such as office space, workstation, etc. In most cases, it’s a win-win for all: staff augmentation providers, buyers and local software developers. On the one hand, staff augmentation helps developing nations avoid brain drain as the talent stays within the country and becomes the foundation for the evolution of internal IT markets and digital product industry as a whole. On the other hand, developers win from pretty favorable taxation conditions and being part of a new creative economy. In their home countries, they make big money, buy houses, change cars and travel a lot. "Many companies that leverage staff augmentation win from cost arbitrage, faster time to hire, access to external expertise that’s scarce or limited locally, and gain a strong competitive advantage," says , CEO of a UK-based software house . "That’s especially true of small companies and startups that have to struggle with big fish, i.e., tech giants that drain local talent pools by offering better paid jobs and 'perks' that small firms simply can't afford." Colette Wyatt Evolve The rule of thumb: "If the mountain will not come to Muhammad, then Muhammad must go to the mountain." 3. Leverage project management tools and technologies According to the , organizations that use any project management methodology usually better meet the budget, better comply with the schedule, scope of work, and quality standards, and better achieve the expected results. PMI Report To get the most out of the extended software development team, companies should use project management tools like Asana, Jira, or Basecamp help track your project progress at each stage of the development life cycle. In today’s data-driven world, when disciplines such as data analytics and data science gain momentum and become indispensable for building robust business intelligence and generating essential insights to drive business further, it’s a shame not to take advantage of the data potential. There’re modern AI-based project management tools that come in handy and help facilitate project management on the augmented software teams. Let’s review some of them and see how they take PM to the next maturity and quality level. Two generations of PM tools In fact, there’re two generations of such tools. The first generation consists of tools that rely on humans (e.g., PM, tech/team lead, etc.) to input data manually and only use AI to some extent. For example, products like and focus on assisting with project ballpark estimates, budget planning, sprint management, and team knowledge sharing and management. stratejos Memo These early AI PM tools can automate tasks, provide insights, and even foster communication within the team. However, as mentioned above, people are still needed to input data correctly, update tools on time, make adjustments, and corrections. The second generation includes AI PM tools that use machine learning algorithms to understand team performance and productivity better, identify bottlenecks, showstoppers, and other issues, and to automate problem-solving. As such AI PM assistants expand their understanding of what’s going on inside the team, new metrics will be revealed to better gauge quality, performance, learning, and re-skilling change in scope, etc. An example of the second-gen tools is , an AI-based platform that analyzes how millions of projects and scopes have been developed around the world, and understands team performance metrics and patterns used exclusively on your project. This helps make project estimation experience faster, more reliable, and accurate. Estimatess In the future, each change made to the source code and will link it to tasks performed and responsible people. This will allow linking bugs to a line of code, determine who exactly made that error in the code, and provide actionable suggestions for bug fixing and productivity improvement. AI will know 4. Encourage documentation-driven development Code documentation (aka documentation driven development) is the basis of any working software. The software requires constant updating and maintenance, so make sure your extended team keeps a record of their code at each stage of development using tools such as , , , or . Github BitBucket GitLab SourceForge Companies should decide on a collective approach to code documentation that will work for everyone, including augmented staff. Tools such as Swagger help introduce clear methodologies for code documentation and other important methods such as paired programming. Your outsourcing manager should make sure both in-house and extended teams work to the same ethical standards and keep the code readable, understandable, and maintainable. If you choose to distribute your development with more augmented teams in the future and if you need to pass the code over to a new team, it should be a breeze for them to plug in and continue working with the code. 5. Just be flexible Extended teams are easier to integrate if companies encourage flexibility. Maintaining rigid development processes rarely leads to the desired results. Development methodologies such as Agile allow teams to be more flexible and achieve positive results. According to PwC's Agile Project Delivery Confidence , Agile projects are 28% more successful than traditional waterfall projects. survey When working with an extended team, a certain level of compromise is always required. Extended teams usually have a lot of experience with in-house developers and often have a unique understanding of best practices in workflow management. By maintaining flexibility and encouraging feedback, augmented teams can help identify more effective ways of bringing business value. To wrap up, here’re the essential steps you need to make to succeed in your staff augmentation journey: communicate your project needs, goals and anticipated results clearly, define roles and processes, use both traditional and innovative project management tools that take advantage of artificial intelligence and data science, always deliver clean and well-documented code, and be flexible and adaptable to innovative corporate cultures (e.g., data-driven) and software development methodologies. Staff augmentation is perfect for projects with rapidly changing business and technology requirements as you don’t have to hire in-house developers each time you need to boost your core team productivity or find talent that’s too expensive or hard to find within your home country. If you want to map and implement your creative value chains, augmented teams are a way to go. Otherwise, why would big name brands like MyHeritage, PlayTech or Rakuten rush to leverage staff augmentation abroad? Featured Photo by Daniel Cheung on Unsplash Please share the story with those who might find this post useful. Feel free to follow me on LinkedIn and Medium . Cheers!

How Tech Staff Augmentation Drives Creative Economy Forward

If you already have an in-house development team and require extra hands, IT outstaffing is the best solution for you. It's like renting a specialist of certain expertise from another company for a specific period of time. Imagine, some company operating in real estate has already launched the development of a special app. It should ease real estate property inspections and make addressing tenants’ requests more efficiently. At some point, they realize the necessity for extra developers. The company starts searching for cost-efficient ways to get the bug fixing procedures and certain design and feature improvements. So they turn to an IT outstaffing company that provides them with an iOS developer. Over time they decide to implement the app redesign so another specialist augments the initial development team. This time it is a designer who adds a new color theme and makes a complete app redesign. Keen to know the results of their cooperation? This is a real case, and you can of how the ordering party has boosted business results after cooperation with an outstaffing agency. check the case study What is IT Outstaffing and How Does It Work? IT outstaffing or staff augmentation is an outsourcing strategy that helps businesses to hire the best talents worldwide for a specified period of time. This business model gives an opportunity to cut or extend the existing in-house team with dedicated developers. You can choose personnel with the most suitable stack of professional skills, level of expertise, communication, etc. A covers such aspects of cooperation as legal arrangements, workspace setup, staff IT support, recruitment, and HR processes. The chosen developer is concentrated solely on your project. staff augmentation company The "outstaffing" term may be rephrased in different countries as "contracting", "hiring a contract worker", "offshoring", "subcontracting", "talent outsourcing", etc. Most important is that when some tech startup or enterprise decides to augment the development team with talented specialists, they may partner with some IT outstaffing agency. They provide a detailed job description and the agency starts to search for the matching professional. Once the fitting candidates are found, the ordering party may interview and approve the best developer. After that, the companies sign a contract while an outstaffing agency technically employs the chosen developer. Who Benefits From IT Staff Augmentation the Most? Sometimes it is hard to decide which business model to choose for your business objectives. Here is an overview of the situations when IT outstaffing is the best choice. There is an existing development team in your company. You need extra hands to create an app or some part of the product. Especially when it comes to expertise in some programming language that won't be used in your company in the future. You have a team of developers working on your tech project but need to add some engineers. The local market doesn't offer developers with fitting expertise. Or you are short on time and can not wait for the whole recruitment process, instead, you need quality and fast hiring. You wish to digitize certain processes in your company at lower costs. The existing IT department can monitor the work of the offshore augmented team. You work with an outsourcing company but wish to have more control of the project and remote developers. By using the outstaffing model you can not only speak with developers directly but make sure they feel like part of your in-house development team. in a way that within the first model the ordering party is responsible for staff management both of an in-house and augmented team and the final product delivery and quality by themselves. IT outstaffing is different from IT outsourcing While the outsourcing vendor manages the development team within the project, may add or extract certain developers from the current product development to some other client's needs. Takes the responsibility for planning and progress tracking as well as other product development activities agreed by the contact. The Pros and Cons of Staff Augmentation Model Every business model has benefits and challenges to overcome therefore every business owner chooses the best one for reaching their own goals. The challenges while using outstaffing services include: . To manage the team of offshore developers the ordering party needs to understand each aspect of the software development process. Requires tech expertise from the client lies on the client's shoulders, not the vendor's. The workload of the augmented team is fully controlled by the ordering party. Full responsibility for product development results . As the responsibility for results and team management lies on the client, it is crucial to allocate the best contractors. Choose the fitting staff attentively Every model is viable due to the benefits it brings to businesses. Let's see what provide for tech startups and enterprises: IT outstaffing services . The outstaffing agency fully covers the hiring process and the legal maintenance of staff employment. No recruitment is required . The are lower compared to the in-house hiring due to lower rates or an outsourcing model due to the absence of risk management costs. Cost-efficiency software development costs . No need to manage the administrative side that includes salary payment, HR processes, etc. Full concentration on development . The augmented team is fully focused on one project compared to outsourcing where it is possible to participate in several projects at once. High productivity and dedication . All the source code, IP rights, and development tools belong to the client so the is directly managed by the ordering party. High-security level project security . The client may replace contractors for the one with the necessary expertise at any moment without additional costs for change. Flexibility in staff rotation . Enterprise's journey may face ups and downs and outstaffing helps to lay low and do not fire full-time workers by simply reducing the staff number till the economic situation gets better. Ride out the recession . You already get a professional of expected experience that moves your project development fast so no qualification uplift is required, the rest is handled by the outstaffing agency. No need to train staff How IT Outstaffing Model Helps to Optimize Development Costs The outstaffing model makes it possible to hire the best developers for a reasonable price without opening a new office and maintaining the staff supportive operations. This way you don't need to additionally hire accountants, lawyers, recruiters, office managers, etc. The outstaffing agency will take care of all operational proceedings. Also, there is no need to pay for the organization and the actual setup of team workplaces and other crucial facilities. Instead, you just pay the agreed sum per the contract that includes the vendor's fee and the developer's net salary. While the vendor takes care of the rest. How to Choose an IT Outstaffing Agency? When choosing the right partner in outstaffing services, you should take into account certain major points, such as: . The more time the company operates on the market, the better employer brand it has and the bigger pool of talented developers it has to offer. Years on the market . If the company is recognized by the trusted world organizations and their staff has professional certificates, it speaks eloquently about the overall competence and high delivery standards within the company. Awards and recognition . The way a company answers the questions defines the smoothness of further collaboration which is crucial in business partnerships. Communication . One of the vendor's tasks is to organize a workplace for developers so choose the one who can provide your augmented team with a separate room with all the required facilities. Facility equipment . The outstaffing company should provide a manager in charge to negotiate possible misunderstandings with developers if necessary. Responsible manager Conclusions The right provider of team augmentation services for a tech startup or an SMB company, that has stepped up on the road to digital transformation and needs extra hands, will take care of the client's needs - from one developer to a whole development team including QA engineers and project managers. No distractions for other projects, a development team will be just like a part of your in-house team fully concentrating on your core product and business goals. A responsible manager will take care of all collaboration matters. A professional outstaffing agency will ask you to pay only for the hired staff and give you the option to expand or reduce the allocated development team upon necessity. Curious to know how outstaffing works in practice? Contact us anytime!

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