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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# ACE-V1.1: Brain Tumor Detection
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[](https://badge.socket.dev/huggingface/package/lexbwmn/ace-v1?version=9fc388072e3ddfbe5027c4c0f9d290ce73fae547)[](https://creativecommons.org/licenses/by-nc-nd/4.0/)
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> [!CAUTION]
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> **MEDICAL RESEARCH USE ONLY.** ACE-V1.1 is **NOT** a cleared medical device. It must not be used for primary diagnosis or clinical decision-making. All outputs must be verified by a qualified professional.
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# ACE-V1.1: Brain Tumor Detection
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[](https://badge.socket.dev/huggingface/package/lexbwmn/ace-v1?version=9fc388072e3ddfbe5027c4c0f9d290ce73fae547)[](https://creativecommons.org/licenses/by-nc-nd/4.0/)
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> [!CAUTION]
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> **MEDICAL RESEARCH USE ONLY.** ACE-V1.1 is **NOT** a cleared medical device. It must not be used for primary diagnosis or clinical decision-making. All outputs must be verified by a qualified professional.
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