Yolo11_NSFW_Custom_Small

Full Custom YOLO Detection Model

Model Description

This model is a custom-trained YOLO object detection model for multi-class detection tasks on a specialized dataset.

It is trained for fine-grained object detection using bounding box annotations across multiple visual anatomy classes.

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Intended Use

• Object detection on custom anatomical datasets
• Bounding box classification for fine-grained region detection

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Limitations

• Trained on a custom manually annotated dataset across 7 classes
• Performance may degrade on unseen domains or different distributions
• Evaluation is based on a controlled dataset of ~50 images

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Evaluation Results

Overall Metrics

• Precision: 0.987
• Recall: 0.999
• mAP@50: 0.995
• mAP@50-95: 0.794

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Per-Class Results

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