Omkar2118/datasets huggingface dataset:
VIA

The **VIA** dataset is a dataset for aiding the visually impaired. The proposed datase1 consists of 342 images divided into two classes: 175 of them are “clear-path” and 167 are “nonclear” path. They were taken using a smartphone camera and resized to 750 × 1000 pixels. The smartphone was placed in the user chest height and inclined approximately 30 to 60 from the ground, so it could capture a few meters of the path ahead, and beyond the reach of a regular white cane

Source: [https://arxiv.org/abs/2005.04473](https://arxiv.org/abs/2005.04473)

Introducing paper: Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and Cooperation
VideoMem

Composed of 10,000 videos annotated with memorability scores. In contrast to previous work on image memorability -- where memorability was measured a few minutes after memorization -- memory performance is measured twice: a few minutes after memorization and again 24-72 hours later. 

Source: [VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability](/paper/videomem-constructing-analyzing-predicting)

Introducing paper: VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability