Omkar2118/datasets huggingface dataset:
EGAD
Full name: Evolved Grasping Analysis Dataset

The Evolved Grasping Analysis Dataset (EGAD) comprises over 2000 generated objects aimed at training and evaluating robotic visual grasp detection algorithms. The objects in EGAD are geometrically diverse, filling a space ranging from simple to complex shapes and from easy to difficult to grasp, compared to other datasets for robotic grasping, which may be limited in size or contain only a small number of object classes.

Introducing paper: EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation
FacebookVideoLive18

**FacebookVideosLive18** dataset includes 1,000,000 Facebook live videos with their metadata (title, source, length, creation time, description, etc.), broadcasters locations and  viewers locations. We are using a set of synchronised scripts that allow to have a global view of the real time streaming system every 3 minutes. We believe that our dataset is the first that tracks the locations and behaviors of live viewers. We expect FacebookVideosLive18 to support various trending research areas such as cloud computing, multimedia data allocation, multi-cloud allocation, edge computing, edge caching and transcoding, data analytics, etc.

Introducing paper: FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations