70-Page Report on the COCO Dataset and Object Detection [Part 1] by@samin

70-Page Report on the COCO Dataset and Object Detection [Part 1]

One place to find tools, platforms, tutorials to explore, process, model data. Take a look at the report to quickly find common resources and/or assets for a given dataset and a specific task, in this case dataset=COCO, task=object detection. We are building a dataset-first marketplace focusing on the end-to-end machine learning pipeline, one where data and assets can be shared and traded. The marketplace will contain all that the report contains (and much more for a lot more datasets).
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Shreya Amin

Math/physics to AI & data (15+ years in data science/products www.reasonets.com/marketplace medium.com/@aminshreyaa

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Take a look at the report to quickly find common resources and/or assets for a given dataset and a specific task, in this case dataset=COCO, task=object detection. We are building a dataset-first marketplace focusing on the end-to-end machine learning pipeline, one where data and assets can be shared and traded. The marketplace will contain all that the report contains (and much more for a lot more datasets)


I’m open to suggestions, questions, and criticism — let’s start a conversation.


I have broken up the report into the following blogs:


  1. Part 1 (this one): COCO Summary Card. Each link will take you to the longer report where you can learn more. The next 3 parts represent a specific section in the report.
  2. Part 2: This part is about COCO and examples and tutorials of tools and platforms used to work with COCO (or object detection tasks).
  3. Part 3: Process: This part is about the tools and platforms that can be used for different phases of data preparate or data processing involved in vision, object detection, and specifically COCO-related tasks. It will also discuss synthetic data and data quality.
  4. Part 4: Models: This part is about a quick introduction to some pre-trained models and some corresponding readings.

COCO Summary Card

COCO (Common Objects in Context)


COCO is a large-scale object detection, segmentation, and captioning dataset. The dataset classes include 80 pre-trained objects.



Benchmark dataset with evaluation metric Average Precision (AP)


Tasks: Object Detection, Panoptic Semantic Segmentation, Keypoint Detection, DensePose


Explore with tutorials: Tools and platforms used to work with COCO (or object detection tasks)

  • FiftyOne, DataTorch, Know Your Data (KYD), OpenCV, OpenVINO, CVAT, Roboflow, SuperAnnotate, OpenMMLab, Coral, Amazon, Facebook, Google, Microsoft, NVIDIA, Weights and Biases.


Processing: Open-source tools and Paid platforms to perform the following steps.

Models: To answer what objects are in image X and where are they? (You’ll find a brief summary and readings.)


If you have feedback please review this link (Marketplace — Coming Soon | ReasoNets) and email me at [email protected] Looking forward to starting a conversation.


Next, Part 2

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