Omkar2118/datasets huggingface dataset:
MPEblink

The pioneering eyeblink detection dataset is characterized by three key features: 
(1) Sample with multi-human instances.
(2) Unconstrained in-the-wild scenarios.
(3) Untrimmed videos. 
These attributes make the dataset more challenging and better aligned with real-world scenarios.

Introducing paper: Real-time Multi-person Eyeblink Detection in the Wild for Untrimmed Video
ImageNet-200 (TEMI Split)

This split was introduced in TEMP (BMVC 2023)

Adaloglou, Nikolas, Felix Michels, Hamza Kalisch, and Markus Kollmann. "Exploring the Limits of Deep Image Clustering using Pretrained Models." In BMVC. 2023.
ImageNet-100 (GCD split)

This ImageNet-100 dataset was introduced in the following paper,

Vaze, S., Han, K., Vedaldi, A. and Zisserman, A., 2022. Generalized category discovery. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 7492-7501).

Introducing paper: Generalized Category Discovery