Omkar2118/datasets huggingface dataset:
Forward-Looking Sonar Marine Debris Datasets

This dataset is made up of forward-looking sonar images containing ten classes of underwater debris. The dataset can be used for segmentation or object detection. Applications include training computer vision models for underwater robotics applications.
REBU-Syn

Scene Text Recognition training data

Introducing paper: An Empirical Study of Scaling Law for OCR
Aerial Landmarks Recognition Dataset

We filter and match the landmarks in the Google Landmarks dataset with their OpenStreetMap polygons and filter for those located in the United States, resulting in 602 landmarks. 
Then, we obtain the latest high-resolution aerial images of the obtained polygons through the National Agriculture Imagery Program (NAIP) of the United States Department of Agriculture (USDA). Finally, we construct multiple-choice questions about the name of the landmark with incorrect answers from other landmarks in the same category.

Introducing paper: Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data