IDEA-Research/DINO-X-API

Health v2 · maintenance only

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Adoption not part of the score

1410 stars · 63 forks observed · 2026-08-28

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

DINO-X API is a Python client library and examples for accessing DINO-X, a hosted unified vision model for open-world object detection and understanding. It supports text, visual, and custom prompts to produce bounding boxes, segmentation masks, pose keypoints, and region captions.

Use cases

• detect arbitrary objects in images without training
• segment objects with open-set prompts
• estimate human pose keypoints from photos
• generate captions for image regions
• count objects using visual prompts
• ground text phrases to image regions
• integrate object detection into AI agent workflows via MCP

When to choose

• you need state-of-the-art zero-shot open-vocabulary detection
• you want one API for detection, segmentation, pose, and captioning
• you're okay calling a hosted cloud API rather than running models locally

When to avoid

• you need fully offline or self-hosted inference
• you require a permissively self-hostable model rather than an API client
• you need guaranteed low-latency or no network dependency

Facets

library · maturity active

computer-vision image-processing sdk machine-learning computer-vision artificial-intelligence image-processing python cross-platform open-set-object-detection object-segmentation pose-estimation region-captioning visual-prompting phrase-grounding api-client zero-shot-detection

Member repositories

For agents

markdown · JSON · MCP: product_card(name="IDEA-Research/DINO-X-API")