COCO 2017 dataset labeled for face detection. Contribute to HapKoM/coco-faces development by creating an account on GitHub.

Those bounding boxes encompass the entire body of the person (head, body, and extremities), but being able to detect and isolate specific parts is useful and has many applications in machine learning. Detecting faces in particular is useful, so we've created a …

COCO 2017 dataset labeled for face detection. Contribute to HapKoM/coco-faces development by creating an account on GitHub.

Jul 12, 2016 · Common Objects in Context (COCO) is a dataset of photos used for object detection. It includes a "person" class with 59,144 unique photos from Flickr. The dataset was published in 2014 and contains 328,000 total images.

Ultralytics COCO8 is a small, but versatile object detection dataset composed of the first 8 images of the COCO train 2017 set, 4 for training and 4 for validation. This dataset is ideal for testing and debugging object detection models, or for experimenting with new detection approaches.

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We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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