baaivision/Painter

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2593 stars · 180 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Painter and SegGPT are vision foundation models from BAAI for in-context visual learning, where a single generalist model performs diverse vision tasks specified via image prompts. SegGPT extends this to segmenting arbitrary objects in images and videos in context.

Use cases

• segment arbitrary objects in images with a prompt
• perform in-context visual learning across vision tasks
• run generalist image-to-image vision models
• combine SAM with SegGPT for one-touch segmentation
• segment objects in videos
• research generalist vision foundation models

When to choose

• you need a generalist segmentation model driven by visual prompts
• you want to experiment with in-context visual learning research
• you need pretrained weights for Painter or SegGPT

When to avoid

• you need a production-ready segmentation service with an API
• you need task-specific fine-tuned models with best benchmark accuracy
• you need non-PyTorch or CPU-only inference

Facets

library · maturity maintenance

machine-learning computer-vision image-processing computer-vision deep-learning artificial-intelligence image-processing python vision-foundation-models in-context-learning segmentation research-code seggpt cvpr2023 linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="baaivision/Painter")