Geospatial and Earth observation
GitHub

Albumentations on GitHub in Geospatial and Earth observation

Used in 542 public GitHub repositories

Satellite, aerial, remote-sensing, mapping, and Earth-observation imagery.

Aerial view of a winding stream crossing a green wetland
Photo: Tom Fisk on Pexels

Public examples

Top public GitHub repositories

Showing the top 100

  1. TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

    4,059 stars562 forks
  2. GeoAI: Artificial Intelligence for Geospatial Data

    3,091 stars456 forks
  3. An open source library and framework for deep learning on satellite and aerial imagery.

    2,221 stars399 forks
  4. yolov5 + csl_label.(Oriented Object Detection)(Rotation Detection)(Rotated BBox)基于yolov5的旋转目标检测

    1,945 stars427 forks
  5. Datasets for deep learning with satellite & aerial imagery

    1,153 stars127 forks
  6. UNetFormer: 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.

    1,080 stars152 forks
  7. An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

    867 stars148 forks
  8. A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).

    813 stars159 forks
  9. YOLOv11-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】

    687 stars95 forks
  10. This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"

    657 stars44 forks
  11. Deep 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

    582 stars473 forks
  12. [NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

    540 stars65 forks
  13. CosmiQ Works Geospatial Machine Learning Analysis Toolkit

    444 stars119 forks
  14. 425 stars108 forks
  15. The official implementation of "ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning"

    421 stars57 forks
  16. 🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

    396 stars48 forks
  17. Deep learning models for change detection of remote sensing images

    391 stars63 forks
  18. The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"

    384 stars19 forks
  19. CellViT: Vision Transformers for Precise Cell Segmentation and Classification

    383 stars74 forks
  20. PyTorch implementation of SatCLIP

    369 stars44 forks
  21. Official code of Remote Sensing Mamba

    344 stars25 forks
  22. Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network

    315 stars65 forks
  23. Create a digital-twin style traffic visualization using only mp4 CCTV footage and its Google Maps location.

    310 stars39 forks
  24. This is the pytorch implement of the paper "RSMamba: Remote Sensing Image Classification with State Space Model"

    303 stars22 forks
  25. MLEvolve is an open-source autonomous system for end-to-end machine learning algorithm design and optimization powered by progressive search and experience-driven memory.

    293 stars54 forks
  26. Towards Robust Evaluation for Geospatial Foundation Models

    270 stars46 forks
  27. TerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.

    265 stars42 forks
  28. [TPAMI 2026] Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

    265 stars17 forks
  29. [AAAI'25] Official Code for “Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community"

    255 stars26 forks
  30. The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"

    249 stars13 forks
  31. This repository contains details of the release of the Prithvi-EO-2.0 foundation model.

    247 stars44 forks
  32. Chat with RS-ChatGPT and get the remote sensing interpretation results and the response!

    241 stars29 forks
  33. Earth system foundation model data, training, and eval

    240 stars48 forks
  34. [ESSD 2025 & IEEE DFC 2025 & CVPRW 2026] Bright: A globally distributed multimodal VHR dataset for all-weather disaster response

    239 stars39 forks
  35. [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".

    222 stars9 forks
  36. Yet another repository for developing and benchmarking deep learning-based change detection methods.

    218 stars29 forks
  37. [ICME2024 Oral, JSTARS2025, TGRS2026] Change detection of remote sensing images

    213 stars20 forks
  38. Code for 1st place solution in Understanding Clouds from Satellite Images Challenge.

    211 stars53 forks
  39. AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

    210 stars41 forks
  40. 205 stars53 forks
  41. PyVerse is an open-source collection of diverse Python projects, tools, and scripts, ranging from beginner to advanced, across various domains like machine learning, web development, and automation.

    197 stars319 forks
  42. 🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

    195 stars30 forks
  43. Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002

    191 stars34 forks
  44. [IEEE TGRS 2024 🔥] Change-Agent: Toward Interactive Comprehensive Remote Sensing Change Interpretation and Analysis

    191 stars20 forks
  45. VGI-Enhanced multimodal large language model for remote sensing images.

    191 stars14 forks
  46. EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale.

    184 stars33 forks
  47. An ecosystem of data, models and code pipelines to tackle flooding with ML🌊

    183 stars44 forks
  48. Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

    181 stars39 forks
  49. [TGRS2025, ISPRS2025, TGRS2026] semantic segmentation of remote sensing images

    177 stars11 forks
  50. Winning algorithms for the SpaceNet 4: Off-Nadir Building Footprint Detection Challenge

    174 stars34 forks
  51. [IEEE GRSM 2025 🔥] "Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model"

    174 stars9 forks
  52. A framework for change detection using PyTorch

    169 stars26 forks
  53. Foreground-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

    169 stars22 forks
  54. Building footprint segmentation from satellite and aerial imagery

    165 stars35 forks
  55. A simplified implementation of remote sensing change detection based on pytorch

    161 stars13 forks
  56. Software for working with satellite & aerial imagery ML datasets

    159 stars30 forks
  57. The official repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining"

    159 stars11 forks
  58. The Winning Solution to the Cultivated land Extraction From High-Resolution Remote Sensing Image Challenge (1 / 486)

    158 stars33 forks
  59. This is the pytorch implement of our paper "RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model"

    157 stars7 forks
  60. [AAAI 2024] EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering

    154 stars5 forks
  61. 151 stars50 forks
  62. 150 stars8 forks
  63. AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation

    147 stars20 forks
  64. [IEEE GRSL] The official implementation of UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing Images on PyTorch

    141 stars8 forks
  65. A collection of some awesome public object detection and recognition datasets.

    137 stars11 forks
  66. Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction

    136 stars38 forks
  67. Implementation of Latent Diffusion Super-Resolution model for RGB-NIR Sen2 imagery.

    136 stars26 forks
  68. Notebooks demonstrating example applications of the cleanlab library

    134 stars28 forks
  69. [AAAI 2026 (Oral)] LWGANet: Addressing Spatial and Channel Redundancy in Remote Sensing Visual Tasks with Light-Weight Grouped Attention

    133 stars6 forks
  70. Pretrained remote sensing models for the rest of us.

    132 stars1 forks
  71. 131 stars16 forks
  72. A project for text-to-image remote sensing image generation.

    130 stars17 forks
  73. AI for remote sensing, remote sense, object detection, oriented object detection, computer vision, cv

    128 stars13 forks
  74. Mastering NLP from Foundations to LLMs, Published by Packt

    127 stars62 forks
  75. Winners of the Open Cities AI Challenge competition

    125 stars27 forks
  76. Official implementation for "JL1-CD: A New Benchmark for Remote Sensing Change Detection and a Robust Multi-Teacher Knowledge Distillation Framework"

    125 stars19 forks
  77. One line code to get any remote sensing foundation model embeddings for any place and any time

    125 stars16 forks
  78. This is an official implementation for "Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors“ (AAAI 2023))

    120 stars1 forks
  79. Official implementation of the WACV 2025 paper "Pix2Poly: A Sequence Prediction Method for End-to-end Polygonal Building Footprint Extraction from Remote Sensing Imagery".

    119 stars15 forks
  80. Individual tree crown delineation in optical remote sensing images

    114 stars22 forks
  81. A PyTorch implementation of "GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis"

    114 stars16 forks
  82. Open-source ML platform for detecting deforestation, ice melt, and flooding from Sentinel-2 / Landsat imagery.

    113 stars216 forks
  83. Building Extraction from remote sensing image using Vision Transformer, IEEE Transactions on Geoscience and Remote Sensing, 2022

    108 stars12 forks
  84. PyTorch implementation of PerCo (Towards Image Compression with Perfect Realism at Ultra-Low Bitrates, ICLR 2024)

    106 stars6 forks
  85. A computer vision project for image segmentation

    104 stars46 forks
  86. An official implementation of EvoSearch: Scaling Image and Video Generation via Test-Time Evolutionary Search

    104 stars5 forks
  87. The official implementation of paper "Unified Self-Supervised Learning Framework for Remote Sensing Images".

    103 stars8 forks
  88. The official implementation for "Learn from Segment Anything Model: Local Region Homogenizing for Cross-domain Remote Sensing Image Segmentation".

    101 stars0 forks
  89. UANet: an Uncertainty-Aware Network for Building Extraction from Remote Sensing Images

    96 stars4 forks
  90. Semantic segmentation from multi-source optical data (baseline for the FLAIR#2 challenge)

    94 stars14 forks
  91. Implement of the paper "Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection"

    94 stars6 forks
  92. Code repository for "Self-supervised Vision Transformers for Land-cover Segmentation and Classification", CVPR EarthVision Workshop 2022 - Best Student Paper Award

    93 stars16 forks
  93. ISPRS: Using a semantic edge-aware multi-task neural network to delineate agricultural parcels from remote sensing images

    93 stars9 forks
  94. Algorithmic baseline for SpaceNet 8 Challenge

    92 stars23 forks
  95. A tool for developing remote sensing datasets and models.

    91 stars15 forks
  96. [CVPR 2024] 3D Building Reconstruction from Monocular Remote Sensing Images with Multi-level Supervisions

    89 stars7 forks
  97. Multi-Class Semantic Segmentation on Dubai's Satellite Images.

    87 stars27 forks
  98. This is the implement of the paper "DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding"

    86 stars2 forks
  99. [IEEE TIP 2023] Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks

    82 stars7 forks
  100. [ISWA 2025] Lightweight Edge-Real-Time Small Object Detection on Aerial Imagery

    82 stars6 forks