cvdfoundation/open-images-dataset resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1128 stars · 170 forks observed · 2026-08-28

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

Open Images is a large-scale dataset of ~9 million images annotated with image-level labels and bounding boxes spanning over 6000 categories, hosted by CVDF on AWS S3. The repository provides download instructions, mirrors, and tooling for retrieving the dataset's train, validation, and test splits.

Use cases

• train an object detection model on a large labeled image dataset
• download millions of annotated images with bounding boxes
• benchmark computer vision models across thousands of classes
• get training data for image classification
• find a large-scale dataset for instance segmentation research

When to choose

• you need a massive, freely available image dataset with bounding box annotations
• you want thousands of object categories for detection or classification
• you need standard train/validation/test splits for benchmarking

When to avoid

• you need a small curated dataset for a quick prototype
• you cannot store hundreds of gigabytes of images
• you need pixel-perfect segmentation masks for all images

Facets

dataset · maturity maintenance

machine-learning computer-vision image-processing computer-vision machine-learning image-processing deep-learning cloud cross-platform image-dataset object-detection bounding-boxes image-classification computer-vision-dataset open-images

Member repositories

For agents

markdown · JSON · MCP: product_card(name="cvdfoundation/open-images-dataset")