Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-11-24 000000m 21:31:44 - Overview

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Name (Institute + Shorttitle)Crepe Cooking Dataset  
Description (include details on usage, files and paper references)The Crepe Dataset provides 6 different types of structured activity videos in 1920x1080 resolution. Each activity is represented as a sequence of different action components.

Notable features of this dataset includes:
- Structured activities as a sequence of component actions.
- Multiple activities running in parallel.
- Inclusion of distractors that are not relevant to defined activities.
- Every frame is annotated with bounding boxes, agent types, agent occlusion and action labels.

We provide the following human-labeled annotations:
- Bounding box of every person
- Person type (action performer or distractor)
- Occlusion against another person
- Action label
- Activity label
 
URL Linkhttps://osf.io/d5k38/wiki/home/ 
Files (#)
References (SKIPPED)
Category (SKIPPED)Action and Activity Recognition 
Tags (single words, spaced)structured activity action recognition cooking recipe crepe simultaneous parallel 
Last Changed2017-11-24 
Turing (2.12+3.25=?) :-)