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README.md
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---
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title: yolo11m_coreml_fp32_auto
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tags:
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- yolo
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- object-detection
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- computer-vision
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- mlpackage
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- aegis-ai
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library_name: ultralytics
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license: agpl-3.0
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---
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# yolo11m_coreml_fp32_auto
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## Accuracy Evaluation Results
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**Evaluation Dataset**: coco
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| Metric | Value |
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|--------|--------|
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| mAP@0.5 | 0.549 (54.9%) |
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| mAP@0.5:0.95 | 0.424 (42.4%) |
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| Precision | 0.488 (48.8%) |
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| Recall | 0.259 (25.9%) |
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| F1 Score | 0.338 (33.8%) |
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| Evaluation FPS | 59.5 |
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| Avg Inference Time | 16.79 ms |
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*These metrics were computed using the Aegis AI evaluation framework on the coco dataset.*
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---
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*This model was automatically converted and uploaded by the Aegis AI Model Conversion Tool.*
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