

Joytag
Overview :
JoyTag is an advanced AI vision model designed for image tagging, prioritizing positive and inclusive content. It utilizes the Danbooru tag system and is suitable for various image types, ranging from hand-drawn illustrations to photographs. JoyTag supports multi-label classification with over 5000 tags and can be used for automatic image annotation, making it valuable for training diffusion models with limited text pairs. The model boasts superior performance, built on the ViT architecture with a CNN stem and GAP head.
Target Users :
JoyTag is widely applicable in automatic image annotation, training diffusion models with limited text pairs, and various applications emphasizing positive and inclusive image processing needs.
Use Cases
Automatically tagging images
Training diffusion models with limited text pairs
Meeting the needs of positive and inclusive image processing
Features
Multi-label classification
Danbooru tag system
Supports various image types, including hand-drawn illustrations and photographs
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