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DeepStack Action Detection - Custom Model

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@OlafenwaMoses OlafenwaMoses released this 14 Aug 13:51
· 5 commits to main since this release
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A DeepStack Custom Model for object detection API to detect human actions in images and videos. It detects the following actions

  • calling
  • clapping
  • cycling
  • dancing
  • drinking
  • eating
  • fighting
  • hugging
  • kissing
  • laughing
  • listening-to-music
  • running
  • sitting
  • sleeping
  • texting
  • using-laptop

Download the model actionnet.pt from the Assets section (below) in this release.

This Model is a YOLOv5x DeepStack custom model and that was trained for 150 epochs, generating a best model with the following evaluation result.

[email protected]: 0.9858
[email protected]: 0.8051