remote_sensing
remote-sensing-sft-data
RSCoVLM: Co-Training Vision Language Models for Remote Sensing Multi-task Learning
Qingyun Li*
Shuran Ma*
Junwei Luo*
Yi Yu*
Yue Zhou
Fengxiang Wang
Xudong Lu
Xiaoxing Wang
Xin He
Yushi Chen
Xue Yang
If you find our work helpful, please consider giving us a ⭐!
ArXiv Paper: https://arxiv.org/abs/2511.21272
Published Paper: https://www.mdpi.com/2072-4292/18/2/222… See the full description on the dataset page: https://huggingface.co/datasets/Qingyun/remote-sensing-sft-data.HLS_Remote_Sensingsnd-remask-dgle-remote-sensing-hpc
DGLE remote sensing HPC bundle
Research bundle for the two DGLE-protocol tasks:
Task
Labeled source
Unlabeled target train
Labeled target evaluation
vh2pd
Vaihingen IRRG, 256 patches
Potsdam RGB, 2,592 patches
Potsdam RGB, 864 patches
r2u
LoveDA Rural, 1,366 images
LoveDA Urban, 1,156 images
LoveDA Urban Val, 677 images
The bundle contains prepared PNG data in six ZIP64 archives, six CSV manifests,
dataset metadata, the ImageNet ResNet101 initialization, and… See the full description on the dataset page: https://huggingface.co/datasets/kuan2/snd-remask-dgle-remote-sensing-hpc.remote-sensing-change-detection
Remote Sensing Change Detection Dataset
For Chinese documentation, please see README_zh.md
Dataset Description
A specialized dataset for remote sensing change detection research, containing complete image processing pipeline and annotation information. This dataset includes 24 groups of registered and aligned remote sensing image samples, with each group containing 5 different types of image files and corresponding annotation files.
Dataset Features
Data… See the full description on the dataset page: https://huggingface.co/datasets/Mercyiris/remote-sensing-change-detection.remote-sensing-VQA-benchmark
Adapting Multimodal Large Language Models to Domains via Post-Training (EMNLP 2025)
This repos contains the remote sensing visual instruction tasks for evaluating MLLMs in our paper: On Domain-Specific Post-Training for Multimodal Large Language Models.
The main project page is: Adapt-MLLM-to-Domains
1. Download Data
You can load datasets using the datasets library:
from datasets import load_dataset
# Choose the task name from the list of available tasks
task_name… See the full description on the dataset page: https://huggingface.co/datasets/AdaptLLM/remote-sensing-VQA-benchmark.remote_sensing_VQA_multilingual
Remote Sensing VQA — Multilingual
A multilingual counterfactual MCQ dataset built from remote sensing / satellite imagery.
Each row contains a satellite image, two captions (original vs counterfactual), and a multiple-choice question probing whether a VLM follows the image or the misleading text.
Languages
Language
Code
Rows
English
en
50
Hindi
hi
50
Urdu
ur
50
Telugu
te
50
Bahasa Indonesia
id
50
Columns
Column
Type… See the full description on the dataset page: https://huggingface.co/datasets/apart-global-south-hack/remote_sensing_VQA_multilingual.