Yolo11_NSFW_Small

Full Custom YOLO Detection Model

Model Description

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

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

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Intended Use

• Object detection on NSFW datasets
• Bounding box classification for custom classes

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Limitations

• Trained on a custom dataset that was boxed with the ten classes by hand.
• Performance may degrade on unseen domains or distributions, but in testing on 10k out of database images the error rate was less the 4%

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Evaluation Results

Overall Metrics

• Precision: 0.858
• Recall: 0.808
• mAP@50: 0.898
• mAP@50-95: 0.6156

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Per-Class Results

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