yoosan/video-understanding-dataset
A curated list of video understanding benchmark datasets including ActivityNet, Kinetics, Moments in Time, and UCF101.
Not currently ranked — collecting fresh signals.
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This repository aggregates popular video understanding datasets used for computer vision research. It catalogs benchmark datasets for video classification and temporal action detection, including metrics, dataset sizes, class counts, and state-of-the-art performance references. The collection spans human action datasets (UCF101, HMDB51, Kinetics), activity recognition (ActivityNet), and temporal localization tasks (THUMOS).
Frequently asked
- What is yoosan/video-understanding-dataset?
- A curated list of video understanding benchmark datasets including ActivityNet, Kinetics, Moments in Time, and UCF101.
- Is video-understanding-dataset open source?
- Yes — yoosan/video-understanding-dataset is an open-source project tracked on heatdrop.
- How popular is video-understanding-dataset?
- yoosan/video-understanding-dataset has 470 stars on GitHub.
- Where can I find video-understanding-dataset?
- yoosan/video-understanding-dataset is on GitHub at https://github.com/yoosan/video-understanding-dataset.