caglarmert/ARAS400k

ARAS400k: A Large-Scale Remote Sensing Dataset Augmented with Synthetic Data for Segmentation and Captioning Alternative title: Grounding Synthetic Data Generation With Vision and Language Models ARAS400k contains 100,240 real and 300,000 synthetic remote sensing images (400,240 in total). Every image is 256×256 pixels and is paired with a semantic segmentation mask and five descriptive captions (2,001,200 captions in total). This repository mirrors the official release on… See the full description on the dataset page: https://huggingface.co/datasets/caglarmert/ARAS400k.

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