The dataset behind Meta's Segment Anything model: high-resolution photos with automatic segmentation masks.
Its licence doesn't allow Rubynox to redistribute it, so we never deliver it. Get it directly from Meta AI; we list it so you can see all your options in one place.
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Images and video · ImageNet (Stanford and Princeton)
Millions of photos labelled with WordNet categories; the ILSVRC 1,000-class subset is the classic image-classification benchmark.
Images and video · COCO Consortium
Everyday scenes with object boxes, segmentation masks, keypoints and captions.
Images and video · LAION e.V.
Image-text pairs gathered from Common Crawl, used to train open image and multimodal models.
Images and video · LeCun, Cortes and Burges
Handwritten digits 0 to 9, the 'hello world' of computer vision.
Images and video · University of Toronto (Krizhevsky)
Small colour images in 10 classes such as aeroplane, cat and truck.
Images and video · Google
Image-level labels, object boxes, segmentation masks and relationships across 600 classes.