CAMMA-public / SSG-VQA

SSG-VQA is a Visual Question Answering (VQA) dataset on laparoscopic videos providing diverse, geometrically grounded, unbiased and surgical action-oriented queries generated using scene graphs.

Date Created 2023-10-31 (about a year ago)

Commits 13 (last one 3 months ago)

Stargazers 28 (0 this week)

Watchers 4 (0 this week)

Forks 1

License other

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RepositoryStats indexes 589,668 repositories, of these CAMMA-public/SSG-VQA is ranked #572,341 (3rd percentile) for total stargazers, and #375,102 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #113,623/117,716.

Other Information

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Homepage URL: http://camma.u-strasbg.fr/datasets

All Topics

scene-graph vqa-dataset surgical-data-science

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13 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-12-04 @ 05:57am, id: 712432971 / R_kgDOKnbdSw