KeypointNet is a large-scale and diverse 3D keypoint dataset that contains 83,231 keypoints and 8,329 3D models from 16 object categories, by leveraging ...

Keypoint Detection is essential for analyzing and interpreting images in computer vision. It involves simultaneously detecting and localizing interesting ...

The datasets below can be used to train fine-tuned models for keypoint detection. You can explore each dataset in your browser using Roboflow.

The goal of the competition is to locate specific keypoints on face images. You should build an algorithm that, given an image of a face, automatically locates ...

Each predicted keypoint is specified by an (x,y) real-valued pair in the space of pixel indices. There are 15 keypoints, which represent the following ...

1055 open source keypoints-soccer-field images. Keypoints Field Detection dataset by TrackrFC.

Full dataset is available now! KeypointNet is a large-scale and diverse 3D keypoint dataset that contains 83,231 keypoints and 8,329 3D models from 16 ...

The detector can deal with an arbitrary number of keypoint channels, that can contain a varying amount of keypoints. · We use the standard COCO dataset format.

The COCO-Pose dataset is specifically used for training and evaluating deep learning models in keypoint detection and pose estimation tasks, such as OpenPose.

14 нояб. 2021 г. · PyTorch provides a Keypoint RCNN model which is pre-trained to detect 17 keypoints of the human body (nose, eyes, ears, shoulders, elbows, wrists, hips, knees ...