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Histochemichael
/
so101-rack-handle-seg

Image Segmentation
ultralytics
ONNX
robotics
so101
yolo
segmentation
Model card Files Files and versions
xet
Community

Instructions to use Histochemichael/so101-rack-handle-seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use Histochemichael/so101-rack-handle-seg with ultralytics:

    from huggingface_hub import hf_hub_download
    from ultralytics import YOLO
    
    # pick the weights file from this repo's "Files and versions" tab
    weights = hf_hub_download("Histochemichael/so101-rack-handle-seg", "<weights>.pt")
    model = YOLO(weights)
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
so101-rack-handle-seg
46.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Histochemichael's picture
Histochemichael
Publish SO101 handle segmentation run through epoch 99
00214f9 verified 2 months ago
  • test
    Publish SO101 handle segmentation run through epoch 99 2 months ago
  • training
    Publish SO101 handle segmentation run through epoch 99 2 months ago
  • .gitattributes
    1.82 kB
    Publish SO101 handle segmentation run through epoch 99 2 months ago
  • README.md
    515 Bytes
    Publish SO101 handle segmentation run through epoch 99 2 months ago
  • best.onnx
    21.1 MB
    xet
    Publish SO101 handle segmentation run through epoch 99 2 months ago
  • best.pt
    23.4 MB
    xet
    Publish SO101 handle segmentation run through epoch 99 2 months ago
  • dataset_export_summary.json
    246 Bytes
    Publish SO101 handle segmentation run through epoch 99 2 months ago
  • so101_summary.json
    906 Bytes
    Publish SO101 handle segmentation run through epoch 99 2 months ago