The implications are that you have to download the videos yourself and crop them at the correct temporal range. In place, an annotations file is provided which contains a list of entries in json and csv format containing the YouTube URL links, action category and the start and end times of the action category within the video. The biggest pain point when dealing with the Kinetics dataset as opposed to the ImageNet or COCO equivalents is that the actual videos are not available for download. The explorer can be found on Getting the Kinetics annotation dataset

A Short Note on the Kinetics-700 Human Action Dataset ( )Ī kinetics dataset explorer was created to make it easy to visualize the data.

The Kinetics Human Action Video Dataset ( ).

This information can be found by reading the following papers: how it was collected, the distribution of the different classes etc. However, it won’t go into too much detail about the annotations dataset e.g. It will highlight some basic statistics about the data which will hopefully help you make informed decisions if you choose to download it yourself. This blog will go through the steps taken taken in downloading the videos from the annotations files as well as challenges faced and some strategies used to get around the challenges. The main vision for the Kinetics dataset is that it become’s the ImageNet equivalent of video data. The dataset is becoming a standard for human activity recognition and is increasingly been used as a benchmark in several action recognition papers as well as a baseline for deep learning architectures designed to process video data. The URL links in the above context means YouTube URL links, therefore, the videos are YouTube videos. Each clip is human annotated with a single action class and lasts around 10s.

Each action class has at least 600 video clips. The Kinetics 700 dataset is described on the deep mind website as:Ī large-scale, high-quality dataset of URL links to approximately 650,000 video clips that covers 700 human action classes, including human-object interactions such as playing instruments, as well as human-human interactions such as shaking hands and hugging. Kinetics 700 is the latest version at the time of the writing of this blog.

There are 3 main versions of the dataset Kinetics 400, Kinetics 600 and the Kinetics 700 version. If you are interested in performing deep learning for human activity or action recognition, you are bound to come across the Kinetics dataset released by deep mind.

Ffmpeg crop video length