Albumentations on GitHub in Geospatial and Earth observation
Used in 422 public GitHub repositories
Satellite, aerial, remote-sensing, mapping, and Earth-observation imagery.
Public examples
Top public GitHub repositories
Showing the top 100
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
4,192 stars562 forksGeoAI: Artificial Intelligence for Geospatial Data
3,406 stars486 forksAn open source library and framework for deep learning on satellite and aerial imagery.
2,242 stars397 forksyolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测
1,948 stars426 forksDatasets for deep learning with satellite & aerial imagery
1,204 stars127 forksUNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.
1,109 stars153 forksAn Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
868 stars148 forksA Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
864 stars163 forksYOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework（Supports RGBT detection for all YOLO series from YOLOv3 to YOLOv13, as well as RTDETR. 【Ultralytics YOLOv3-YOLOv13】
724 stars95 forksThis is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"
668 stars44 forksDeep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
599 stars472 forks[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
574 stars68 forksMultiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.
549 stars76 forksCreate a digital-twin style traffic visualization using only mp4 CCTV footage and its Google Maps location.
483 stars66 forksCosmiQ Works Geospatial Machine Learning Analysis Toolkit
442 stars119 forks🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
397 stars48 forksDeep learning models for change detection of remote sensing images
394 stars64 forksThe official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"
384 stars19 forksPyTorch implementation of SatCLIP
376 stars47 forksOpen-source ML platform for detecting deforestation, ice melt, and flooding from Sentinel-2 / Landsat imagery.
371 stars218 forksOfficial code of Remote Sensing Mamba
347 stars25 forksTerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.
323 stars42 forksThis repository contains details of the release of the Prithvi-EO-2.0 foundation model.
319 stars46 forksSmall-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network
315 stars65 forksThis is the pytorch implement of the paper "RSMamba: Remote Sensing Image Classification with State Space Model"
306 stars23 forks[AAAI'25] Official Code for “Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community"
297 stars28 forksTowards Robust Evaluation for Geospatial Foundation Models
287 stars49 forks[ESSD 2025 & IEEE DFC 2025 & CVPRW 2026] Bright: A globally distributed multimodal VHR dataset for all-weather disaster response
255 stars42 forksThe official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"
253 stars13 forks[Nature Machine Intelligence 2025] This repository is the official implementation of the paper "A semantic-enhanced multi-modal remote sensing foundation model for Earth observation".
246 stars8 forksChat with RS-ChatGPT and get the remote sensing interpretation results and the response!
241 stars29 forksAiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
235 stars43 forks[ICME2024 Oral, JSTARS2025, TGRS2026] Change detection of remote sensing images
224 stars22 forksYet another repository for developing and benchmarking deep learning-based change detection methods.
217 stars29 forksCode for 1st place solution in Understanding Clouds from Satellite Images Challenge.
212 stars53 forksRoad network extraction from satellite imagery, with speed and travel time estimates
203 stars65 forks🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
203 stars29 forks[IEEE TGRS 2024 🔥] Change-Agent: Toward Interactive Comprehensive Remote Sensing Change Interpretation and Analysis
201 stars20 forks[TGRS2025, ISPRS2025, TGRS2026] semantic segmentation of remote sensing images
199 stars11 forksVGI-Enhanced multimodal large language model for remote sensing images.
193 stars14 forks[IEEE GRSM 2025 🔥] "Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model"
192 stars9 forksChange is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002
191 stars35 forksThe Winning Solution to the Cultivated land Extraction From High-Resolution Remote Sensing Image Challenge (1 / 486)
183 stars35 forksExperiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
182 stars39 forksWinning algorithms for the SpaceNet 4: Off-Nadir Building Footprint Detection Challenge
174 stars34 forksA framework for change detection using PyTorch
170 stars26 forksForeground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery (CVPR 2020 & TPAMI 2023) https://arxiv.org/pdf/2011.09766.pdf
170 stars23 forksBuilding footprint segmentation from satellite and aerial imagery
168 stars35 forksSoftware for working with satellite & aerial imagery ML datasets
163 stars30 forksThis is the pytorch implement of our paper "RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model"
162 stars7 forksA simplified implementation of remote sensing change detection based on pytorch
160 stars13 forksOne line code to get any remote sensing foundation model embeddings for any place and any time
159 stars16 forksThe official repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining"
159 stars11 forksAI for remote sensing, remote sense, object detection, oriented object detection, computer vision, cv
158 stars14 forks[AAAI 2024] EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering
156 stars5 forks[IEEE GRSL] The official implementation of UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images on PyTorch
151 stars8 forksAeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation
150 stars20 forksA collection of some awesome public object detection and recognition datasets.
144 stars11 forks[AAAI 2026 (Oral)] LWGANet: Addressing Spatial and Channel Redundancy in Remote Sensing Visual Tasks with Light-Weight Grouped Attention
141 stars6 forks- 138 stars16 forks
Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction
136 stars38 forksImplementation of Latent Diffusion Super-Resolution model for RGB-NIR Sen2 imagery.
136 stars26 forksOfficial implementation of the WACV 2025 paper "Pix2Poly: A Sequence Prediction Method for End-to-end Polygonal Building Footprint Extraction from Remote Sensing Imagery".
132 stars16 forksOfficial implementation for "JL1-CD: A New Benchmark for Remote Sensing Change Detection and a Robust Multi-Teacher Knowledge Distillation Framework"
130 stars19 forksA project for text-to-image remote sensing image generation.
130 stars18 forksPretrained remote sensing models for the rest of us.
130 stars1 forksThis is an official implementation for "Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors“ (AAAI 2023))
120 stars1 forksIndividual tree crown delineation in optical remote sensing images
118 stars22 forksA PyTorch implementation of "GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis"
118 stars16 forksBuilding Extraction from remote sensing image using Vision Transformer, IEEE Transactions on Geoscience and Remote Sensing, 2022
110 stars12 forksThe official implementation of paper "Unified Self-Supervised Learning Framework for Remote Sensing Images".
103 stars8 forks#72
StuLiu/RegDA
The official implementation for "Learn from Segment Anything Model: Local Region Homogenizing for Cross-domain Remote Sensing Image Segmentation".
99 stars0 forksAlgorithmic baseline for SpaceNet 8 Challenge
96 stars23 forksUANet: an Uncertainty-Aware Network for Building Extraction from Remote Sensing Images
96 stars4 forks#75
KyanChen/TTP
Implement of the paper "Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection"
95 stars6 forksOfficial repo for [ICML 2026] "Any2Any: Unified Arbitrary Modality Translation for Remote Sensing"
95 stars1 forksISPRS: Using a semantic edge-aware multi-task neural network to delineate agricultural parcels from remote sensing images
94 stars9 forks[CVPR 2024] 3D Building Reconstruction from Monocular Remote Sensing Images with Multi-level Supervisions
94 stars7 forksCode repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision Workshop 2022 - Best Student Paper Award
92 stars16 forksA tool for developing remote sensing datasets and models.
91 stars15 forksMulti-Class Semantic Segmentation on Dubai's Satellite Images.
87 stars27 forksCode and data for Kuro Siwo flood mapping dataset
87 stars15 forksThis is the implement of the paper "DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding"
87 stars2 forks[ISWA 2025] Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery
86 stars9 forksVisDrone aerial object detection toolkit with 33 models (Torchvision + YOLO), training, evaluation, video inference, benchmarking, and annotation conversion.
84 stars33 forks[ICCV 2025] The official implementation of the paper “Street-to-Satellite Image Synthesis with Diffusion Models and BEV Paradigm”
84 stars8 forks[IEEE TIP 2023] Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks
84 stars7 forks[CVPR 2026 🔥] ThinkGeo is a Comprehensive Benchmark to evaluate Tool-Augmented Agents for Remote Sensing Tasks
84 stars6 forks#89
IGNF/FLAIR-1
Semantic segmentation from aerial imagery (baseline of the FLAIR #1 challenge)
81 stars24 forksHephaestus: A large scale multitask dataset towards InSAR understanding
81 stars7 forks[IEEE GRSL 2024 🔥] RSCaMa: Remote Sensing Image Change Captioning with State Space Model
81 stars4 forks[NeurIPS 2023] Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
79 stars9 forksOfficial implementation of "From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction"
79 stars6 forksThis is the pytorch implement of the paper "RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models"
79 stars5 forksThis is an official implementation for "One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning“ (TGRS 2024))
78 stars3 forksTraining and deployment of deep learning models for satellite & aerial imagery
75 stars23 forksImplement code of paper "AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Agriculture mapping"
73 stars14 forks[TGRS 2025] Code for "PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images"
73 stars3 forks基于达摩院在深度学习、计算机视觉、地理空间分析等方向上的技术积累，结合阿里云强大算力支撑，提供多源对地观测数据的云计算分析服务，用数据感知地球世界，让AI助力科学研究。
72 stars8 forksCode Repo for Earth Observation for Disaster Mapping: Benchmarks, Methods, Challenges and Future Perspectives
72 stars5 forks