COCO

Common Objects in Context (COCO) is a database that aims to enable future research for object detection, instance segmentation, image captioning, and person keypoints localization.

For more details, see http://mscoco.org/

Works

  • COCO-Text: Dataset for Text Detection and Recognition Check out the ICDAR2017 Robust Reading Challenge on COCO-Text!  COCO-Text is a new large scale dataset for text detection and recognition in natural images. Version 1.3 of the dataset is out! 63,686 images, 145,859 text instances, 3 fine-grained text attributes. This dataset is based on the MSCOCO dataset. Text localizations as bounding boxes Text transcriptions for legible text Multiple text instances per image More than 63,000 ...
  • Common Objects in Context (COCO) Common Objects in Context (COCO) is a database that aims to enable future research for object detection, instance segmentation, image captioning, and person keypoints localization. For more details, see http://mscoco.org/ Papers

People