A Short Note about Kinetics-600

3 Aug 2018  ·  Joao Carreira, Eric Noland, Andras Banki-Horvath, Chloe Hillier, Andrew Zisserman ·

We describe an extension of the DeepMind Kinetics human action dataset from 400 classes, each with at least 400 video clips, to 600 classes, each with at least 600 video clips. In order to scale up the dataset we changed the data collection process so it uses multiple queries per class, with some of them in a language other than english -- portuguese. This paper details the changes between the two versions of the dataset and includes a comprehensive set of statistics of the new version as well as baseline results using the I3D neural network architecture. The paper is a companion to the release of the ground truth labels for the public test set.

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Datasets

Introduced in the Paper:

Kinetics-600

Used in the Paper:

Kinetics Kinetics 400

Results from Other Papers

Task Dataset Model Metric Name Metric Value Rank Source Paper Compare
Action Classification Kinetics-600 I3D (RGB) Top-1 Accuracy 73.6 # 61
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