Kinetics is a collection of large-scale, high-quality datasets of URL links of up to 650,000 video clips that cover 400/600/700 human action classes, depending on the dataset version. The videos include human-object interactions such as playing instruments, as well as human-human interactions such as shaking hands and hugging. Each action class has at least 400/600/700 video clips. Each clip is human annotated with a single action class and lasts around 10 seconds.

The Kinetics project publications can be found here: https://deepmind.com/research/open-source/kinetics.

4th of August 2021 -- replaced corrupted videos in the kinetics-700-2020 test set (these were typically shorter than 9s as well). There are still 5% of the videos in the test set that are shorter than 9s, but genuinely so (e.g. because they are like that in youtube).

CVDF currently hosts the videos in the Kinetics-400 and Kinetics-700-2020 datasets.

The train/val/test splits are subdivided into many files. The lists of links to video files can be found here:

https://s3.amazonaws.com/kinetics/400/train/k400_train_path.txt

https://s3.amazonaws.com/kinetics/400/val/k400_val_path.txt

https://s3.amazonaws.com/kinetics/400/test/k400_test_path.txt

It is easy to obtain a specific split (e.g. train), by:

bash download.sh k400_train_path.txt

Then, extract *.tar.gz files by:

bash extract.sh k400_train_path.txt

The links/annotations can be found under the annotation subfolders:

https://s3.amazonaws.com/kinetics/400/annotations/train.csv

https://s3.amazonaws.com/kinetics/400/annotations/val.csv

https://s3.amazonaws.com/kinetics/400/annotations/test.csv

A readme file can be found in:

http://s3.amazonaws.com/kinetics/400/readme.md

The train/val/test splits are subdivided into many files. The lists of links to video files can be found here:

https://s3.amazonaws.com/kinetics/600/train/k600_train_path.txt

https://s3.amazonaws.com/kinetics/600/val/k600_val_path.txt

https://s3.amazonaws.com/kinetics/600/test/k600_test_path.txt

The links/annotations can be found under the annotation subfolders:

https://s3.amazonaws.com/kinetics/600/annotations/train.txt

https://s3.amazonaws.com/kinetics/600/annotations/val.txt

https://s3.amazonaws.com/kinetics/600/annotations/test.csv

A readme file can be found in:

http://s3.amazonaws.com/kinetics/600/readme.md

The train/val/test splits are subdivided into many files. The lists of links to video files can be found here:

https://s3.amazonaws.com/kinetics/700_2020/train/k700_2020_train_path.txt

https://s3.amazonaws.com/kinetics/700_2020/val/k700_2020_val_path.txt

https://s3.amazonaws.com/kinetics/700_2020/test/k700_2020_test_path.txt

The links/annotations can be found under the annotation subfolders:

https://s3.amazonaws.com/kinetics/700_2020/annotations/train.csv

https://s3.amazonaws.com/kinetics/700_2020/annotations/val.csv

https://s3.amazonaws.com/kinetics/700_2020/annotations/test.csv

A readme file can be found in:

http://s3.amazonaws.com/kinetics/700_2020/K700_2020_readme.txt

We also host annotations for AVA-Kinetics and Countix, which both use Kinetics-700 videos.

To download annotations for AVA-Kinetics: https://s3.amazonaws.com/kinetics/700_2020/annotations/ava_kinetics_v1_0.tar.gz

To download annotations for countix: https://s3.amazonaws.com/kinetics/700_2020/annotations/countix.tar.gz