Image Segmentation
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
Eval Results (legacy)
Instructions to use fcakyon/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use fcakyon/test-model with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("fcakyon/test-model") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32261dc3f247e6f70af05fb586a6796da910fe82d2bceadae24629f2afd3612a
- Size of remote file:
- 23.9 MB
- SHA256:
- d3f01c5364b0f3db6e74433b819256940c468e153e47e60e1f8c8d9faa538bc9
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