The AVA-Kinetics Localized Human Actions Video Dataset
This provides a new dataset for video action recognition researchers, but it is incremental as it extends existing datasets.
The paper introduces the AVA-Kinetics dataset, created by annotating Kinetics-700 videos with AVA action classes, containing over 230k clips, and shows that using it improves action classification performance on the AVA test set with a baseline model.
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/