Let's learn about via these 33 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Image Recognition /Learn Repo 1. Using Image Classification for Fitness and Dieting Apps Body management is desired yet hard. Knowing how much the daily take-in is can also be a challenge. Read on to use ML tech to overcome these challenges. 2. How Computer Vision Turns Images Into Arrays How Images are turned into arrays in Computer Vision 3. Universal Data Tool Introduction: Weekly Update 2 If you haven’t heard of the Universal Data Tool, it’s an open-source web or desktop program to collaborate, build and edit text, image, video, and audio datasets with labels and annotations. 4. An Intro to AI Image Recognition and Image Generation The ability of artificial intelligence to recognize and generate images or even videos is assisting businesses to enhance the speed and quality of their work. 5. How AI Is Helping To Diagnose Cancer Read how artificial intelligence is used in digital pathology for cancer diagnosis and reveal MobiDev’s research on WSI processing using machine learning models 6. This Is How Easy it Is to Read and Display Images Working with images is more and more popularized; we are going to take dive into this field, first with the basics and starting with an open CV library. 7. Small Object Detection in Computer Vision: The Patch-Based Approach How to carry out small object detection with Computer Vision - An example of finding lost people in a forest. 8. 10 Best Image Classification Datasets for ML Projects To help you build object recognition models, scene recognition models, and more, we’ve compiled a list of the best image classification datasets. These datasets vary in scope and magnitude and can suit a variety of use cases. Furthermore, the datasets have been divided into the following categories: medical imaging, agriculture & scene recognition, and others. 9. What Makes "Good" Fashion Image Tagging Fashion image tagging is infamously tedious for eCommerce. But, how can AI help create accurate tags--and go a step beyond in understanding fashion information? 10. How to Build Neural Network that Recognizes People Wearing Masks CDC officially recommends wearing face masks (even though not everyone complies). Meanwhile, governments in European countries like Spain, Ukraine, or certain regions in Italy require everyone, big or small, to wear masks all the time, when shopping, walking a dog, or plainly going outside. Breaking the requirements could result in a hefty fine. 11. Image Annotation Business Models [Reviewed] In the rise of robotics, computer vision and image processing cameras, image annotation comes as the first step to get the right AI training data for Deep Learning models. Whether you build an app to allow users to snap fashion items at the store as a new omni-channel sales or use machine vision installed at edge device at the industrial facility to monitor anomalies: it starts with training massive image data sets. 12. What's The Best Image Labeling Tool for Object Detection? An image labeling or annotation tool is used to label the images for bounding box object detection and segmentation. It is the process of highlighting the images by humans. They have to be readable for machines. With the help of the image labeling tools, the objects in the image could be labeled for a specific purpose. The process of object labeling makes it easy for people to understand what is in the image. The labeling tool helps the people to mark the items in an image. There are several image labeling tools for object detection, and some of them use varied techniques for detection of the object, like a semantic, bounding box, key-point, cuboid, semantic and many more. In this article, we will talk about image labeling and the best image labeling tools. 13. Hacking Your Mind with AI: The Case of Addictive TikTok Discover how the AI algorithms used in TikTok make you addicted to the app.  Find out how companies use them to improve their marketing efforts! 14. ICDAR 2021 Competition: Detecting Tables Using Image Recognition To participate go to: https://competitions.codalab.org/competitions/26979 15. Unwrapping Wine Labels - How We Trained A Neural Network To Do It In the previous article, it was described a six-point method to unwrap wine labels. Finding anchor points were performed with Hough transform. It gave fair results for good labels, but for many real cases it was quite unstable, and the efforts to tune it didn’t help much. It became clear at some point, Hough transform itself wasn’t capable of handling the variety of label forms, so the next step was training a neural network. 16. Experiencing Seattle's Amazon Go Grocery Capitol Hill, Seattle. That’s the location of the most futuristic supermarket on the planet, the Amazon Go Grocery store. Today it opened its doors to the general public for the first time, and this was my experience. 17. The “Magic of Tidying for Photos” App — Introduction This post shares about the idea of applying Kon Marie organising method to your digital photos, and I developed an IOS app  with AppleML and PhotoKits to solve the problem. I share my reflection on lean product development strategy and my journey of making the app end-to-end using a minimum, iterable tech stack and strategy. 18. Creating an Image Recognizer on Golang Telegram Bot In this article, we will go over a project on image recognition using Go. We will also create a Telegram bot, through which we can send images for recognition. 19. Major Image Recognition And Annotation Trends Image recognition and annotation technologies are evolving. New techniques that allow you to solve a wide variety of tasks quickly appear. We are happy to present five major trends in image recognition and annotation. 20. Facial Recognition On Drone A facial recognition demonstration using Keras, Tensorflow, python and the drone Tello, from DJI. 21. Are Your Photos Exposing You? You may be accidentally sharing personal information in your photos 22. Clearview AI Fined in UK for Illegally Storing Facial Images In this thread, our community discusses Clearview's endeavor and the backlash that followed. 23. Can I Avoid Facial Recognition At The Airport? Technically, yes, but it is not always easy 24. High-Resolution Photorealistic Image Translation in Real Time You can apply any design, lighting, or graphics style to your 4K image in real-time using this new machine learning-based approach 25. Image Analysis using AWS Rekognition via Lambda Function In this blog, I am going to show you how we can use rekognition for image analysis using lambda function.we will be going to perform label detection and object detection for an image so basically we are performing image analysis in this blog. 26. Using Sparse R-CNN As A Detection Model Today, we are going to discuss a method proposed by researchers from four institutions one of which is ByteDance AI Lab (known for their TikTok App). 27. How Artificial Intelligence Can Improve Modern Radiology Artificial Intelligence in Radiology - Advantages, Use Cases & Trends. Read about the challenges radiology AI is facing on the way to deployment 28. Use Cases and Roll-Out Tips for Image Recognition in Retail Heavily shattered by the pandemic, the retail sector is on the lookout for innovation. 29. Image Analysis using AWS Rekognition via AWS CLI In this blog, I am going to show you how we can use rekognition for image analysis using AWS CLI. So you can test the image analysis on your local machine. We will be going to perform label detection and object detection for an image so basically we are performing image analysis in this blog by using AWS CLI. 30. How To Identify Trees with Deep Learning Idea / inspiration 31. How Synthetic Data is Accelerating Computer Vision In the spring of 1993, a Harvard statistics professor named Donald Rubin sat down to write a paper. Rubin’s paper would go on to change the way that artificial intelligence is researched and practiced, but its stated goal was more modest: analyze data from the 1990 U.S. census, while preserving the anonymity of its respondents. 32. What is Human Pose Estimation? Part of the broader artificial intelligence and computer vision realms, human pose estimation (HPE) technology has been gradually making its presence seen in all kinds of software apps and hardware solutions. Still, human pose estimation seemed to be stuck at the edge, failing to cross into mainstream adoption. 33. Manipulate Images Using Text Commands via this AI Manipulate Real Images With Text - An AI For Creative Artists! StyleCLIP Explained Thank you for checking out the 33 most read stories about Image Recognition on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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