| 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.* | |