Object Detection
ultralytics
Safetensors
yolo
medical
tumor-detection
yolo11
brain tumor
computer vision
Eval Results (legacy)
Instructions to use LexBwmn/ACE-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use LexBwmn/ACE-V1 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("LexBwmn/ACE-V1") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
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> **Video Speed:** 2x. 25-30 FPS real-time inference.
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<p align="center"><b>Video Speed:</b> 2x. 25-30 FPS real-time inference.</p>
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