bitmind/Kinetics-700

The Kinetics-700 dataset is a large scale collection of YouTube video URLs for human action recognition. It is an extension of the original Kinetics dataset, significantly increasing the number of action classes and video clips. The dataset aims to provide a robust benchmark for evaluating models on complex and diverse human actions. Each video clip is approximately 10 seconds long and depicts a single human action.

This dataset is categorized into 700 human action classes, encompassing a broad array of real world activities. The clips are drawn from various YouTube videos, ensuring a wide distribution of settings, subjects, and camera angles.