EPIC-KITCHENS VISOR
收藏DataCite Commons2022-08-19 更新2025-04-17 收录
下载链接:
https://data.bris.ac.uk/data/dataset/2v6cgv1x04ol22qp9rm9x2j6a7/
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资源简介:
We introduce VISOR, a new dataset of pixel annotations and a benchmark suite for segmenting hands and active objects in egocentric video. VISOR annotates videos from EPIC-KITCHENS, which comes with a new set of challenges not encountered in current video segmentation datasets. Specifically, we need to ensure both short- and long-term consistency of pixel-level annotations as objects undergo transformative interactions, e.g. an onion is peeled, diced and cooked - where we aim to obtain accurate pixel-level annotations of the peel, onion pieces, chopping board, knife, pan, as well as the acting hands. VISOR introduces an annotation pipeline, AI-powered in parts, for scalability and quality. Data published under the Creative Commons Attribution-NonCommerial 4.0 International License.
提供机构:
University of Bristol
创建时间:
2022-08-15



