Object Detection
ultralytics
ONNX
yolov11
yolov8
yolo
instance-segmentation
vehicle-inspection
car-damage
Instructions to use beaunix/colcar-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use beaunix/colcar-vision 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("beaunix/colcar-vision", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
upload car defect model
Browse files- car_defects_model.onnx +3 -0
car_defects_model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:8cd9bd96c22491ce5f09b7f5124259e11dd53cf52f8e8665f50d53584578042a
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size 89677750
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