COCO - Common Objects in Context
What is COCO? COCO is a new image recognition, segmentation, and captioning dataset. COCO has several features: Object segmentation Recognition in Context Multiple objects per image More than 300,000 images More than 2 Million instances 80 object categories 5 captions per image Keypoints on 100,000 people Tsung-Yi Lin Cornell Tech Genevieve Patterson MSR Matteo Ruggero Ronchi Caltech Yin Cui Corne
Datasets | IVA
World Cities dataset consists of 2,226,414 geo-tagged images from 40 cities, crawled from Flickr using geographic queries covering a window of each city center. It is designed to be used as a distractor set along with any annotated test set. We also provide an appropriate test set. The Flickr Logos 27 dataset is an annotated logo dataset downloaded from Flickr and contains more than four thousand
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