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.

NSFW

• breast

• vulva

• butt

• penis

• anal

• vaginal

• blowjob

• handjob

Custom

• face

• nipple

• mouth

• eyes

• navel

• anus

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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 Evaluation Results
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Class | Images | Instances | Precision | Recall | mAP50 | mAP50-95

all | 613 | 1683 | 0.858 | 0.809 | 0.898 | 0.616
person | 233 | 256 | 0.829 | 0.902 | 0.928 | 0.762
breast | 286 | 298 | 0.910 | 0.884 | 0.964 | 0.642
vulva | 165 | 166 | 0.874 | 0.777 | 0.873 | 0.495
butt | 127 | 131 | 0.848 | 0.771 | 0.895 | 0.596
male | 102 | 108 | 0.865 | 0.474 | 0.718 | 0.553
penis | 237 | 269 | 0.824 | 0.855 | 0.903 | 0.577
anal | 145 | 147 | 0.936 | 0.905 | 0.957 | 0.704
vaginal | 182 | 184 | 0.888 | 0.903 | 0.952 | 0.619
blowjob | 36 | 36 | 0.779 | 0.778 | 0.869 | 0.603
handjob | 73 | 88 | 0.830 | 0.841 | 0.925 | 0.603