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The AVA-Kinetics Localized Human Actions Video Dataset

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arxiv 2005.00214 v2 pith:SOEYGFE5 submitted 2020-05-01 cs.CV cs.LGeess.IV

Ang Li , Meghana Thotakuri , David A. Ross , João Carreira , Alexander Vostrikov , Andrew Zisserman This is my paper
classification cs.CVcs.LGeess.IV
keywords datasetactionava-kineticsvideoactionsannotatedannotationclips
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper describes the AVA-Kinetics localized human actions video dataset. The dataset is collected by annotating videos from the Kinetics-700 dataset using the AVA annotation protocol, and extending the original AVA dataset with these new AVA annotated Kinetics clips. The dataset contains over 230k clips annotated with the 80 AVA action classes for each of the humans in key-frames. We describe the annotation process and provide statistics about the new dataset. We also include a baseline evaluation using the Video Action Transformer Network on the AVA-Kinetics dataset, demonstrating improved performance for action classification on the AVA test set. The dataset can be downloaded from https://research.google.com/ava/

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Cited by 3 Pith papers

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