Datasets:
Tasks:
Video Classification
Formats:
csv
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
medical
License:
Update README.md
Browse files
README.md
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@@ -573,5 +573,7 @@ The original video data belongs to their respective owners and should be obtaine
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For questions about the dataset, please contact [david.schneider@kit.edu].
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<video src="https://huggingface.co/datasets/simplexsigil2/omnifall/resolve/main/annotation_remarks.webm" controls />
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For questions about the dataset, please contact [david.schneider@kit.edu].
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## How we used VGG VIA to densely annotate videos for Omnifall
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We provide this video to shortly demonstrate how the annotation process was conducted, increasing transparency.
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<video src="https://huggingface.co/datasets/simplexsigil2/omnifall/resolve/main/annotation_remarks.webm" controls />
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