{"url":"/dataset/vocalfolds","name":"VocalFolds","full_name":null,"description_markdown":"The Vocal Folds dataset is a dataset for automatic segmentation of laryngeal endoscopic images.\nThe dataset consists of 8 sequences from 2 patients containing 536 hand segmented in vivo colour images of the larynx during two different resection interventions with a resolution of 512x512 pixels.\n\nSource: [https://github.com/imesluh/vocalfolds](https://github.com/imesluh/vocalfolds)\nImage Source: [https://github.com/imesluh/vocalfolds](https://github.com/imesluh/vocalfolds)","description_withheld":null,"homepage":"https://github.com/imesluh/vocalfolds","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/a-dataset-of-laryngeal-endoscopic-images-with","title":"A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation","first_author":"Max-Heinrich Laves","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Medical Image Segmentation","url":"/task/medical-image-segmentation","datasets_with_task":"/datasets/task/medical-image-segmentation"},{"name":"Data Augmentation","url":"/task/data-augmentation","datasets_with_task":"/datasets/task/data-augmentation"}],"languages":[],"variants":["VocalFolds"],"data_loaders":[{"repo":"https://github.com/imesluh/vocalfolds","url":"https://github.com/imesluh/vocalfolds","frameworks":[]}],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}