COCO is a large-scale object detection, segmentation, and captioning dataset. COCO has several features. |
The current state-of-the-art on MS COCO is 4xRSN-50(384×288). See a full comparison of 24 papers with code. |
The COCO-Pose dataset is specifically used for training and evaluating deep learning models in keypoint detection and pose estimation tasks, such as OpenPose. |
The current state-of-the-art on COCO test-challenge is Simple Base+*. See a full comparison of 8 papers with code. |
A subset from COCO dataset that contains person keypoints data. |
The COCO Keypoints format is designed specifically for human pose estimation tasks, where the objective is to identify and localize body joints (keypoints) ... |
It contains three main components, which are multi- person detector, high resolution network (HRNet) for key- point detection and pose refinement network. As ... |
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