The Kinetics-600 is a large-scale action recognition dataset which consists of around 480K videos from 600 action categories. The 480K videos are divided into 390K, 30K, 60K for training, validation and test sets, respectively. Each video in the dataset is a 10-second clip of action moment annotated from raw YouTube video. It is an extensions of the Kinetics-400 dataset.
Source: Learning to Localize Actions from Moments
Image Source: https://towardsdatascience.com/downloading-the-kinetics-dataset-for-human-action-recognition-in-deep-learning-500c3d50f776
Variants: Kinetics-600 12 frames, 64x64, Kinetics-600 48 frames, 64x64, Kinetics-600 12 frames, 128x128, Kinetics-600
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Action Recognition In Videos | Florence | Florence: A New Foundation Model … | 2021-11-22 |
Recent papers with results on this dataset: