Object Detection
ultralytics
TensorBoard
PyTorch
English
v8
ultralyticsplus
yolov8
ultralyticsYOLOv8s Table Detection
yolo
computer-vision
Eval Results (legacy)
Instructions to use foduucom/thermal-image-object-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use foduucom/thermal-image-object-detection 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("foduucom/thermal-image-object-detection", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
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type: object-detection
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metrics:
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value: 0.
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language:
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type: object-detection
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metrics:
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value: 0.743
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language:
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metrics:
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