COCO Segmentation Dataset

coco segmentation computer vision dataset

Common Objects in Context (COCO) is one of the most common large-scale image datasets for the evaluation of state-of-the-art computer vision models. COCO dataset contains image annotations in 80 categories, with over 1.5 million object instances.

COCO’s 5 annotation types aid in the following operations:

  1. Object detection
  2. Keypoint detection
  3. Semantic segmentation
  4. Panapotic segmentation
  5. Image captioning

You can create a separate JSON file for training, testing, and validation purposes.


Annotation Type: instance segmentation, object detection

Created By: COCO Consortium

Publish Date: September 01, 2017

License: CC BY 4.0

Dataset Size: 287,135 images

Great! You've successfully subscribed.
Great! Next, complete checkout for full access.
Welcome back! You've successfully signed in.
Success! Your account is fully activated, you now have access to all content.