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
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README.md
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<img width="640" alt="uisikdag/indoorsceneclas_v8" src="https://huggingface.co/uisikdag/indoorsceneclas_v8/resolve/main/thumbnail.jpg">
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### Supported Labels
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<img width="640" alt="uisikdag/indoorsceneclas_v8" src="https://huggingface.co/uisikdag/indoorsceneclas_v8/resolve/main/thumbnail.jpg">
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Dataset:<br> <a href="https://universe.roboflow.com/popular-benchmarks/mit-indoor-scene-recognition/dataset/5">Link</a>
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### Supported Labels
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