Kvasir-SEG (file mirror)

1000 gastrointestinal polyp images with matching pixel-level segmentation masks, from the Kvasir-SEG release by Simula Research Laboratory.

This is a plain file mirror, not a datasets-format repo: images and masks are stored as the original JPEGs so any path-based dataloader can consume them directly after snapshot_download. The dataset viewer is disabled for that reason.

Layout

Kvasir-SEG/
  images/*.jpg          # 1000 RGB frames, variable size
  masks/*.jpg           # 1000 grayscale masks, same stem as their image
  kavsir_bboxes.json    # bounding-box annotations from the original release

Masks are grayscale JPEGs; binarise with a threshold (127 works cleanly) rather than testing for equality with 255 — JPEG compression leaves soft edges.

Usage

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="berkaytrhn/kvasir-seg",
    repo_type="dataset",
    local_dir="data/kvasir-seg",
)
# -> data/kvasir-seg/Kvasir-SEG/images, .../masks

Source and citation

Original dataset: https://datasets.simula.no/kvasir-seg/ — released for research and educational use. Cite the original paper, not this mirror:

@inproceedings{jha2020kvasir,
  title     = {Kvasir-SEG: A Segmented Polyp Dataset},
  author    = {Jha, Debesh and Smedsrud, Pia H. and Riegler, Michael A. and
               Halvorsen, Pal and de Lange, Thomas and Johansen, Dag and
               Johansen, Havard D.},
  booktitle = {International Conference on Multimedia Modeling (MMM)},
  pages     = {451--462},
  year      = {2020},
  publisher = {Springer}
}