Image Classification
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
Eval Results (legacy)
Instructions to use uisikdag/yolo-v8-indoor-scene-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use uisikdag/yolo-v8-indoor-scene-classification with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("uisikdag/yolo-v8-indoor-scene-classification") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b62c78719de9c9d062177da975b6fd9f79bb2703a85db34d7e88180f7c9099e
- Size of remote file:
- 10.4 MB
- SHA256:
- ecb5069aebdb862d33ce9a33342cfeda8414ce87eb8321e5d026e578af3cd2f1
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