Image Segmentation
ultralytics
object-detection
instance-segmentation
oriented-bounding-box
yolo
computer-vision
computational-biology
rodent-monitoring
experimental-biology
Instructions to use kaopanboonyuen/DeepRodent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use kaopanboonyuen/DeepRodent with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("kaopanboonyuen/DeepRodent") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
🐀 feat(weight): reproduce DeepRodent experimental pipeline
Browse files- DeepRodent_WEIGHT.pt +3 -0
DeepRodent_WEIGHT.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae3b875167c1f7ca3172b8cb68bcfb1ced4ae4964ddefb717c1ab7f85f24fd37
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size 6786989
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