Omkar2118/datasets huggingface dataset:
AstroVision

AstroVision is a large-scale dataset comprised of 115,970 densely annotated, real images of 16 different small bodies from both legacy and ongoing deep space missions to facilitate the study of deep learning for autonomous navigation in the vicinity of a small body.

Introducing paper: AstroVision: Towards Autonomous Feature Detection and Description for Missions to Small Bodies Using Deep Learning
SFDDD
Full name: State Farm Distracted Driver Detection

We've all been there: a light turns green and the car in front of you doesn't budge. Or, a previously unremarkable vehicle suddenly slows and starts swerving from side-to-side.

When you pass the offending driver, what do you expect to see? You certainly aren't surprised when you spot a driver who is texting, seemingly enraptured by social media, or in a lively hand-held conversation on their phone.

According to the CDC motor vehicle safety division, one in five car accidents is caused by a distracted driver. Sadly, this translates to 425,000 people injured and 3,000 people killed by distracted driving every year.

State Farm hopes to improve these alarming statistics, and better insure their customers, by testing whether dashboard cameras can automatically detect drivers engaging in distracted behaviors. Given a dataset of 2D dashboard camera images, State Farm is challenging Kagglers to classify each driver's behavior. Are they driving attentively, wearing their seatbelt, or taking a selfie with their friends in the backseat?