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 ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("foduucom/thermal-image-object-detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e3c62a7b1e037d5450703f6fcdc951948f54c546cc4cf93c7671e49efb87131
- Size of remote file:
- 6.23 MB
- SHA256:
- 83f4bfa1779754936bf7897563246f2b2cb5c32f76a67730da5e7b1206910953
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