yolo11n-coreml / README.md
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metadata
title: yolo11n_coreml_fp32_auto
tags:
  - yolo
  - object-detection
  - computer-vision
  - mlpackage
  - aegis-ai
library_name: ultralytics
license: agpl-3.0

yolo11n_coreml_fp32_auto

Accuracy Evaluation Results

Evaluation Dataset: coco

Metric Value
mAP@0.5 0.417 (41.7%)
mAP@0.5:0.95 0.310 (31.0%)
Precision 0.363 (36.3%)
Recall 0.140 (14.0%)
F1 Score 0.202 (20.2%)
Evaluation FPS 62.5
Avg Inference Time 16.01 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.