OpenImages

The Open Images dataset

initial releaseは2016年

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

66,391,027 point-level annotations on 5,827 classes

61,404,966 image-level labels on 20,638 classes

Extension - 478,000 crowdsourced images with 6,000+ classes

Open Images is a computer vision dataset covering ~9 million images with labels spanning thousands of object categories.

Researchers around the world use Open Images to train and evaluate computer vision models.

Since the initial release of Open Images in 2016, which included image-level labels covering 6k categories,

we have provided multiple updates to enrich annotations and expand the potential use cases of the dataset.

Through several releases, we have added image-level labels for over 20k categories on all images and

bounding box annotations,visual relations,instance segmentations,

and localized narratives(synchronized voice, mouse trace, and text caption) on a subset of 1.9M images.