openimages/dataset resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4376 stars · 606 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Open Images is a large-scale annotated image dataset for computer vision, containing millions of images with bounding boxes, instance segmentations, visual relationships, localized narratives, and image-level labels across thousands of classes. This repository serves as the dataset's home, with the dataset itself hosted on a dedicated site for browsing and downloading.

Use cases

• train an object detection model on a large labeled image dataset
• find images with instance segmentation masks for semantic segmentation research
• get image-level labels for weakly supervised learning
• download annotated images for visual relationship detection
• benchmark computer vision models on a standard dataset
• find images with point-level annotations for zero-shot classification

When to choose

• you need a large, diverse, freely licensed image dataset with rich annotations
• you are training or benchmarking object detection, segmentation, or classification models
• you need thousands of object classes beyond what smaller datasets offer

When to avoid

• you need a small, lightweight dataset for quick experiments
• you need video or audio data rather than still images
• you cannot handle multi-gigabyte downloads or need fully curated, clean labels out of the box

Facets

dataset · maturity maintenance

computer-vision image-processing machine-learning computer-vision machine-learning image-processing data-science python cross-platform image-dataset object-detection image-segmentation visual-relationship-detection annotations computer-vision-benchmark

Member repositories

For agents

markdown · JSON · MCP: product_card(name="openimages/dataset")