Felldude/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

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

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