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GT-Neuronext/human-motion-tracking-deeplabcut

This dataset is used to adapt DeepLabCut for Human motion tracking. Structure of the dataset videos contains 100+ videos of 4 candidates recorded during a game of darts. labeled-data contains labels on the corresponding frames of the videos. These labels are used to adapt DeepLabCut for human motion tracking. Under labeled-data there are 2 folders for every video. video_name has all the relevant frames extracted from the video, xy coordinates of the labels in the csv file and… See the full description on the dataset page: https://huggingface.co/datasets/GT-Neuronext/human-motion-tracking-deeplabcut.

sourceHugging Faceupdated 3y agoView on Hugging Face
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Dataset Card

This dataset is used to adapt DeepLabCut for Human motion tracking.

Structure of the dataset

  • videos contains 100+ videos of 4 candidates recorded during a game of darts.
  • labeled-data contains labels on the corresponding frames of the videos. These labels are used to adapt DeepLabCut for human motion tracking. Under labeled-data there are 2 folders for every video.
  • video_name has all the relevant frames extracted from the video, xy coordinates of the labels in the csv file and the corresponding h5 file.
  • video_namelabeled has the overlay of the labels for the frames in `videoname`.