Datasets › Open Images V7

Open Images V7

Introduced by Rodrigo Benenson et al. in From colouring-in to pointillism: revisiting semantic segmentation supervision25 Oct 2022 archive 2025-07-28

Open Images is a computer vision dataset covering ~9 million images with labels spanning thousands of object categories. A subset of 1.9M includes diverse annotations types.

15,851,536 boxes on 600 classes
2,785,498 instance segmentations on 350 classes
3,284,280 relationship annotations on 1,466 relationships
675,155 localized narratives (synchronized voice, mouse trace, and text caption)
66,391,027 point-level annotations on 5,827 classes
61,404,966 image-level labels on 20,638 classes

Images are under a CC BY 2.0 license, annotations under CC BY 4.0 license.

Homepage JSON

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 6 papers for it but never published that list.

Dataset loaders archive 2025-07-28

docs.voxel51.com/user_guide/dataset_zoo/datasets.html#open-images-v7 voxel51/fiftyonetfpytorch

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Image Classification 2D Object Detection Object Detection Semantic Segmentation Speech Recognition 2D Semantic Segmentation Instance Segmentation Image Captioning Visual Relationship Detection

License archive 2025-07-28

CC BY 4.0

Modalities archive 2025-07-28

Images Texts Speech

Languages archive 2025-07-28

English

Variants archive 2025-07-28

Open Images V7

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections