COCO
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
- 컴퓨터 비전 라벨링 작업을 위한 Python 라이브러리. 핵심 기능은 서로 다른 형식(예: coco에서 yolo로) 간에 경계 상자 주석을 변환하는 것입니다.
- https://github.com/pylabel-project/pylabel
- Labelme2coco
- labelme 포맷을 COCO 포맷으로 변환하기 위한 경량 패키지입니다.
- https://github.com/fcakyon/labelme2coco