Crepe Dataset

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Description: Multi-agent structured activity video dataset in a cooking scenario. Raw video files and fully annotated tracks are provided. Please see Wiki for description. If you find it useful, we would appreciate if you cite: K. Lee, D. Ognibene, H. J. Chang, T. K. Kim and Y. Demiris, "STARE: Spatio-Temporal Attention Relocation for Multiple Structured Activities Detection," in IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5916-5927, Dec. 2015.

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Crêpe Dataset Summary The Crêpe Dataset provides 6 different types of structured cooking activity videos in 1920x1080 resolution. Each cooking 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 n...

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osf.io/d5k38

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