Omkar2118/datasets huggingface dataset:
MCVQA
Full name: Multilingual and Code-mixed Visual Question Answering

The MCVQA dataset consists of 248, 349 training questions and 121, 512 validation
questions for real images in Hindi and Code-mixed. For each Hindi question, we also provide its 10 corresponding answers in Hindi.

Introducing paper: A Unified Framework for Multilingual and Code-Mixed Visual Question Answering
AirSim Stereo Synthetic Dataset

Synthetic Dataset created in AirSim

Introducing paper: Lightweight Multi-Drone Detection and 3D-Localization via YOLO
V4V
Full name: Vision for Vitals

Over the past few years a number of research groups have made rapid advances in remote PPG methods for estimating heart rate from digital video and obtained impressive results. How these various methods compare in naturalistic conditions, where spontaneous behavior, facial expressions, and illumination changes are present, is relatively unknown. To enable comparisons among alternative methods, the Vision for Vitals dataset was introduced. It is a novel dataset containing high-resolution videos time-locked with varied physiological signals from a diverse population.

It contains more than 150+ subjects with over 1300+ videos along with ground truth heart rate and respiration rate annotations. It also includes blood pressure waveform signals as part of its physiological data.

Introducing paper: The First Vision For Vitals (V4V) Challenge for Non-Contact Video-Based Physiological Estimation