Omkar2118/datasets huggingface dataset:
HSPACE
Full name: Human-SPACE

**HSPACE** (Human-SPACE) is a large-scale photo-realistic dataset of animated humans placed in complex synthetic indoor and outdoor environments. For all frames the dataset provides 3d pose and shape ground truth, as well as other rich image annotations including human segmentation, body part localisation semantics, and temporal correspondences.

Introducing paper: HSPACE: Synthetic Parametric Humans Animated in Complex Environments
PandaSet

**PandaSet** is a dataset produced by a complete, high-precision autonomous vehicle sensor kit with a no-cost commercial license. The dataset was collected using one 360x360 mechanical spinning LiDAR, one forward-facing, long-range LiDRAR, and 6 cameras. The datasets contains more than 100 scenes, each of which is 8 seconds long, and provides 28 types of labels for object classification and 37 types of annotations for semantic segmentation.

Introducing paper: PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving
EgoBody

**EgoBody** dataset is a novel large-scale dataset for egocentric 3D human pose, shape and motions under interactions in complex 3D scenes.

Introducing paper: EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices
RLD
Full name: Responsive Listener Dataset

**RLD** (Responsive Listener Dataset) is a conversation video corpus collected from the public resources featuring 67 speakers, 76 listeners with three different attitudes. Through non-verbal signals response to the speakers' words, intonations, or behaviors in real-time, listeners show how they are engaged in dialogue.

Introducing paper: Responsive Listening Head Generation: A Benchmark Dataset and Baseline
EMDS-6

In EMDS-6, there are 21 classes of environmental microorganisms (EMs). In each calss, there are 40 EM original images and their corresponding binary groud truth images. In ground truth images, the foreground is white and background is black.

Introducing paper: EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation