{"url":"/dataset/octid","name":"OCTID","full_name":"Optical Coherence Tomography Image Retinal Database","description_markdown":"An open-source Optical Coherence Tomography Image Database containing different retinal OCT images with various pathological conditions. This comprehensive open-access database contains over 500 high-resolution images categorized into different pathological conditions. The image classes include Normal (NO), Macular Hole (MH), Age-related Macular Degeneration (AMD), Central Serous Retinopathy (CSR), and Diabetic Retinopathy (DR).","description_withheld":null,"homepage":"https://borealisdata.ca/dataverse/OCTID","introduced_date":"2018-12-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/octid-optical-coherence-tomography-image","title":"OCTID: Optical Coherence Tomography Image Database","first_author":"Peyman Gholami","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Retinal OCT Layer Segmentation","url":"/task/retinal-oct-layer-segmentation","datasets_with_task":"/datasets/task/retinal-oct-layer-segmentation"},{"name":"Retinal OCT Disease Classification","url":"/task/retinal-oct-disease-classification","datasets_with_task":"/datasets/task/retinal-oct-disease-classification"}],"languages":[],"variants":["OCTID"],"data_loaders":[{"repo":"https://github.com/rakeshredd4512/claasification","url":"https://github.com/rakeshredd4512/claasification","frameworks":["tf"]}],"num_papers_in_archive":15,"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":"2026-09-24T18:15:14+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."}