EDUB-Seg (Egocentric Dataset of the University of Barcelona – Segmentation)

Introduced by Dimiccoli et al. in SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation

Egocentric Dataset of the University of Barcelona – Segmentation (EDUB-Seg) is a dataset for egocentric event segmentation acquired by the Narrative Clip, which takes a picture every 30 seconds. The dataset contains a total of 18,735 images captured by 7 different users during overall 20 days. To ensure diversity, all users were wearing the camera in different contexts: while attending a conference, on holiday, during the weekend, and during the week.

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