Omkar2118/datasets huggingface dataset:
Something-Something V1

The 20BN-SOMETHING-SOMETHING dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with everyday objects. The dataset was created by a large number of crowd workers. It allows machine learning models to develop fine-grained understanding of basic actions that occur in the physical world. It contains 108,499 videos, with 86,017 in the training set, 11,522 in the validation set and 10,960 in the test set. There are 174 labels.

⚠️ Attention: This is the outdated V1 of the dataset. V2 is available [here](https://paperswithcode.com/dataset/something-something-v2).

Source: [https://20bn.com/datasets/something-something/v1](https://20bn.com/datasets/something-something/v1)
Image Source: [https://20bn.com/datasets/something-something/v1](https://20bn.com/datasets/something-something/v1)

Introducing paper: The "something something" video database for learning and evaluating visual common sense
HVU
Full name: Holistic Video Understanding

HVU is organized hierarchically in a semantic taxonomy that focuses on multi-label and multi-task video understanding as a comprehensive problem that encompasses the recognition of multiple semantic aspects in the dynamic scene. HVU contains approx.~572k videos in total with 9 million annotations for training, validation, and test set spanning over 3142 labels. HVU encompasses semantic aspects defined on categories of scenes, objects, actions, events, attributes, and concepts which naturally captures the real-world scenarios.

Source: [Large Scale Holistic Video Understanding](/paper/holistic-large-scale-video-understanding)

Introducing paper: Large Scale Holistic Video Understanding