Omkar2118/datasets huggingface dataset:
Ski-Pose PTZ-Camera

This multi-view pant-tilt-zoom-camera (PTZ) dataset features competitive alpine skiers performing giant slalom runs. It provides labels for the skiers’ 3D poses in each frame, their projected 2D pose in all 20k images, and accurate per-frame calibration of the PTZ cameras. The dataset was collected by Spörri and Colleagues within his Habilitation at the Department of Sport Science and Kinesiology of the University of Salzburg [Spörri16], and was previously used as a reference in different methodological studies [Gilgien13, Gilgien14, Gilgien 15, Fasel16, Fasel18, Rhodin18]. Moreover, upon request the dataset would be available to interested researchers for further methodological-orientated research purposes.

Introducing paper: Learning Monocular 3D Human Pose Estimation from Multi-view Images
DrugComb

**DrugComb** is an open-access, community-driven data portal where the results of drug combination screening studies for a large variety of cancer cell lines are accumulated, standardized and harmonized. An actively expanding array of data visualization and computational tools is provided for the analysis of drug combination data. All the data and informatics tools are made freely available to a wider community of cancer researchers.

Source: [Drug Comb](https://drugcomb.org/about/)
Wisture Dataset

https://ieee-dataport.org/documents/wi-fi-signal-strength-measurements-smartphone-various-hand-gestures

Introducing paper: Wisture: RNN-based Learning of Wireless Signals for Gesture Recognition in Unmodified Smartphones