metafile.yml 930 B

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  1. Collections:
  2. - Name: OCSORT
  3. Metadata:
  4. Training Techniques:
  5. - SGD with Momentum
  6. Training Resources: 8x V100 GPUs
  7. Architecture:
  8. - YOLOX
  9. Paper:
  10. URL: https://arxiv.org/abs/2203.14360
  11. Title: Observation-Centric SORT Rethinking SORT for Robust Multi-Object Tracking
  12. README: configs/ocsort/README.md
  13. Models:
  14. - Name: ocsort_yolox_x_crowdhuman_mot17-private-half
  15. In Collection: OCSORT
  16. Config: configs/ocsort/ocsort_yolox_x_8xb4-amp-80e_crowdhuman-mot17halftrain_test-mot17halfval.py
  17. Metadata:
  18. Training Data: CrowdHuman + MOT17-half-train
  19. Results:
  20. - Task: Multiple Object Tracking
  21. Dataset: MOT17-half-val
  22. Metrics:
  23. HOTA: 67.5
  24. MOTA: 77.5
  25. IDF1: 78.2
  26. Weights: https://download.openmmlab.com/mmtracking/mot/ocsort/mot_dataset/ocsort_yolox_x_crowdhuman_mot17-private-half_20220813_101618-fe150582.pth