MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
A composite dataset that unifies semantic segmentation datasets from different domains.
segmentation instance-segmentation panoptic-segmentation multi-domain dataset api labeling mechanical-turk computer-vision code video paper tutorial library research

  • mseg-api: utilities to download the MSeg dataset, prepare the data on disk in a unified taxonomy, on-the-fly mapping to a unified taxonomy during training.
  • mseg-semantic: utilities to train semantic segmentation models, using a HRNet-W48 or PSPNet backbone, sufficient to train a winning entry on the WildDash benchmark).
  • mseg-panoptic: provides Panoptic-FPN and Mask-RCNN training, based on Detectron2
  • mseg-mturk: provides utilities to perform large-scale Mechanical Turk re-labeling

Don't forget to tag @mseg-dataset in your comment, otherwise they may not be notified.

Authors community post
Share this project
Similar projects
Evaluating Image Segmentation Models
A look at evaluation techniques for semantic and instance segmentation.
Computer Vision Annotation Tool (CVAT)
Free, online, interactive video and image annotation tool for computer vision.
Image segmentation in 2020
Architectures, Losses, Datasets, and Frameworks
Different deep learning architectures definitions that can be applied to image segmentation.
Top collections