COCO
lastmod 2022-09-04created 2016-07-2610 edits
COCO is a new image recognition, segmentation, and captioning dataset.
Features
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
Categories
Projects
- The COCO-Stuff dataset
- COCO-Stuff augments all 164K images of the popular COCO dataset with pixel-level stuff annotations. These annotations can be used for scene understanding tasks like semantic segmentation, object detection and image captioning.
- https://github.com/nightrome/cocostuff
- PyLabel
- A Python library for computer vision labeling tasks. Its core feature is converting bounding box annotations between different formats (e.g., from coco to yolo).
- https://github.com/pylabel-project/pylabel
- Labelme2coco
- A lightweight package for converting the labelme format to the COCO format.
- https://github.com/fcakyon/labelme2coco