Skip to content

DeepStack Action Detection - Custom Model v2

Latest
Compare
Choose a tag to compare
@OlafenwaMoses OlafenwaMoses released this 26 Aug 14:22
· 2 commits to main since this release

Version 2 of the 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 actionnetv2.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.

mAP@.50: 0.995
mAP@.95: 0.913