How to Download ActivityNet and Evaluate Video Understanding Models

ActivityNet, a prominent video dataset in the computer vision realm, is featured in the annual ActivityNet challenge and is now integrated with FiftyOne, an open-source tool for dataset curation and model analysis. This integration streamlines access to the ActivityNet dataset, enabling users to download, visualize, and evaluate models directly within the FiftyOne App. The dataset includes versions with 100 and 200 activity classes, containing thousands of labeled video instances. Users can enhance model evaluation by adding custom predictions and utilizing the ActivityNet evaluation protocol to compute metrics like mean average precision (mAP). FiftyOne's powerful querying capabilities allow for in-depth analysis of model performance, identifying areas for improvement by examining specific cases where models perform poorly. This integration facilitates the development of more accurate activity classification and detection models, making it an invaluable resource for the computer vision community.