yolo11s-coreml-fp16 / README.md
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metadata
title: yolo11s_coreml_fp16_auto
tags:
  - yolo
  - object-detection
  - computer-vision
  - mlpackage
  - aegis-ai
library_name: ultralytics
license: agpl-3.0

yolo11s_coreml_fp16_auto

Accuracy Evaluation Results

Evaluation Dataset: coco

Metric Value
mAP@0.5 0.505 (50.5%)
mAP@0.5:0.95 0.382 (38.2%)
Precision 0.441 (44.1%)
Recall 0.204 (20.4%)
F1 Score 0.279 (27.9%)
Evaluation FPS 95.7
Avg Inference Time 10.44 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.