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---
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license: cc-by-4.0
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---
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license: cc-by-4.0
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library_name: ultralytics
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tags:
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- tumor-detection
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- brain-mri
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- yolov11
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- medical-imaging
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- brisc-2025
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- sota
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metrics:
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- mAP
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---
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# ACE-V1: Brain Tumor Localization
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ACE-V1 is a YOLO11 model trained on the **BRISC 2025** dataset for localizing tumors in MRI scans.
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### **Performance**
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* **mAP@50:** 0.92777 (Verified on test set)
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* **Optimal Weights:** Captured at **Epoch 65** (see `results.png` for convergence history).
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* **Target Class:** `tumor` (single-class detection).
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### **Usage**
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```python
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from ultralytics import YOLO
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model = YOLO('best.pt')
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results = model.predict('mri_scan.jpg', save=True)
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