Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen

• 4/25: Tutorial on visualizing COCONut panoptic masks using detectron2. Turn the black mask image into overlayed colorful mask.
• 4/24: Collected FAQs are out, please check them before you leave any issue.
• 4/22: Tutorial on instance segmentation is out! More are coming!
• 4/19: Tutorial on panoptic segmentation is out!
• 4/16: COCONut is available at Kaggle! No need to merge COCONut-B from COCONut-S, update a version of ready-to-use.
• 4/15: COCONut is higlighted by AK's daily paper!
• 4/15: Huggingface download links are temporarily closed.

• Huggingface dataset preview
• Convert the annotation to semantic segmentation and object detection.
• Release COCONut-L and COCONut-val by the end of April

We only provide the annotation, for those who are interested to use our annotation will need to download the images from the links: COCONut-S images, COCONut-B images and relabeled COCO-val images.

• visualization on COCONut panoptic masks

• panoptic segmentation

• instance segmentation

We summarize the common issues in FAQ.md, please check this out before you create any new issues.

If you find our dataset useful, please cite:

@inproceedings{coconut2024cvpr,
  author    = {Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen},
  title     = {COCONut: Modernizing COCO Segmentation},
  booktitle   = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2024},

We follow the same license as COCO dataset for images. For COCONut's annotations, non-commercial use are allowed.

• kMax-DeepLab
• FC-CLIP
• detectron2