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COVID-19 Diagnosis datasets
archive 2025-07-28
12 datasets carry the task tag "COVID-19 Diagnosis" (the task itself: COVID-19 Diagnosis), ordered by the archive's paper count. Page 1 of 1: 12 shown of 12. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
COVID-19 Diagnosis datasets 1–12 of 12
An open access benchmark dataset comprising of 13,975 CXR images across 13,870 patient cases, with the largest number of publicly available COVID-19 positive cases to the best of the authors' knowledge.
96 papers · 1 benchmark
Contains hundreds of frontal view X-rays and is the largest public resource for COVID-19 image and prognostic data, making it a necessary resource to develop and evaluate tools to aid in the treatment of COVID-19.
35 papers · 1 benchmark
Contains 349 COVID-19 CT images from 216 patients and 463 non-COVID-19 CTs.
28 papers · 0 benchmarks
CoIR (Code Information Retrieval Benchmark)
CoIR (Code Information Retrieval) benchmark, is designed to evaluate code retrieval capabilities.
18 papers · 1 benchmark
BrixIA Covid-19 is a large dataset of CXR images corresponding to the entire amount of images taken for both triage and patient monitoring in sub-intensive and intensive care units during one month (between March 4th and April 4th 2020) of…
13 papers · 0 benchmarks
BIMCV-COVID19+ dataset is a large dataset with chest X-ray images CXR (CR, DX) and computed tomography (CT) imaging of COVID-19 patients along with their radiographic findings, pathologies, polymerase chain reaction (PCR), immunoglobulin G…
9 papers · 0 benchmarks
Under a close collaboration with an expert radiologist team of the Hospital Universitario San Cecilio, the COVIDGR-1.0 dataset of patients' anonymized X-ray images has been built.
8 papers · 2 benchmarks
A public database of COVID-19 CXR and CT images, which are automatically extracted from COVID-19-relevant articles from the PubMed Central Open Access (PMC-OA) Subset.
2 papers · 0 benchmarks
"We built a large lung CT scan dataset for COVID-19 by curating data from 7 public datasets listed in the acknowledgements.
2 papers · 2 benchmarks
COVIDx CXR-3 is an open access benchmark dataset that we generated, comprising 30,882 CXR images across 17,026 patient cases.
1 paper · 1 benchmark
Authors of the Dataset: - Pratik Bhowal (B.E., Dept of Electronics and Instrumentation Engineering, Jadavpur University Kolkata, India)…
1 paper · 1 benchmark
A public open dataset of synthetic chest X-ray images of COVID-19.
1 paper · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.