metadata
title: yolo12n_coreml_fp16_auto
tags:
- yolo
- object-detection
- computer-vision
- mlpackage
- aegis-ai
library_name: ultralytics
license: agpl-3.0
yolo12n_coreml_fp16_auto
Accuracy Evaluation Results
Evaluation Dataset: coco
| Metric | Value |
|---|---|
| mAP@0.5 | 0.431 (43.1%) |
| mAP@0.5:0.95 | 0.322 (32.2%) |
| Precision | 0.375 (37.5%) |
| Recall | 0.137 (13.7%) |
| F1 Score | 0.201 (20.1%) |
| Evaluation FPS | 92.3 |
| Avg Inference Time | 10.83 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.