metadata
title: yolo11l_coreml_fp32_auto
tags:
- yolo
- object-detection
- computer-vision
- mlpackage
- aegis-ai
library_name: ultralytics
license: agpl-3.0
yolo11l_coreml_fp32_auto
Accuracy Evaluation Results
Evaluation Dataset: coco
| Metric | Value |
|---|---|
| mAP@0.5 | 0.568 (56.8%) |
| mAP@0.5:0.95 | 0.443 (44.3%) |
| Precision | 0.507 (50.7%) |
| Recall | 0.278 (27.8%) |
| F1 Score | 0.359 (35.9%) |
| Evaluation FPS | 50.2 |
| Avg Inference Time | 19.92 ms |
These metrics were computed using the Aegis AI evaluation framework on the coco dataset.
This model was automatically converted and uploaded by the Aegis AI Model Conversion Tool.