Segsmakeradetailer: YOLOv8 Training Data for Faces, Hands, People, and Fashion

A collection of datasets for training YOLOv8 object detection models. It includes annotated data for faces, hands, persons, and clothing items. The dataset was created by Blankse and last updated on Hugging Face in May 2025.

Use Cases

• Train face detection models based on the Anime Face CreateML and wider face datasets.
• Fine-tune hand detection models based on the AnHDet and hand-detection-fuao9 datasets.
• Develop person segmentation models based on the coco2017 person data and anime-segmentation dataset.
• Classify clothing items based on the deepfashion2 dataset and its label taxonomy.
• Create multi-task detection systems for anime characters using combined face, hand, and person annotations.

Strengths

• Includes multiple specialized datasets for faces, hands, persons, and fashion, suggesting a multi-domain scope.
• The deepfashion2 component provides a detailed label taxonomy with at least 11 distinct clothing categories.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Hugging Face user Blankse

Collection Method

Aggregated from multiple public datasets including coco2017, deepfashion2, and anime-specific collections.

Freshness

Last updated 2025-05-23 10:51:53