Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
https://github.com/chrieke/awesome-satellite-imagery-datasets
- **FloodNet**
- Rahnemoonfar et al., 2021
- **PASTIS : Panoptic Agricultural Satellite TIme Series**
- Garnot & Landrieu 2021
- **xView3 Dark Vessel Detection 2021**
- **PASTIS: Panoptic Agricultural Satellite TIme Series**
- Garnot & Landrieu 2021
- **SpaceNet 7: Multi-Temporal Urban Development Challenge**
- **RarePlanes: Synthetic Data Takes Flight**
- Tools
- **SpaceNet: Multi-Sensor All-Weather Mapping**
- **Agriculture-Vision Database & CVPR 2020 challenge**
- Chiu et al. 2020
- **iSAID: Large-scale Dataset for Object Detection in Aerial Images**
- devkit - whu.github.io/DOTA/), Paper: [Zamir et al. 2019](https://arxiv.org/abs/1905.12886)
- **xView 2 Building Damage Asessment Challenge**
- Gupta et al. 2019
- **Canada**
- Australia
- Weir et al. 2019
- **Airbus Ship Detection Challenge**
- **Open AI Challenge: Tanzania**
- Link to data
- Denmark - [Netherlands](https://www.pdok.nl/introductie/-/article/basisregistratie-gewaspercelen-brp-) - [France](https://www.data.gouv.fr/en/datasets/registre-parcellaire-graphique-rpg-contours-des-parcelles-et-ilots-culturaux-et-leur-groupe-de-cultures-majoritaire/)
- **CrowdAI Mapping Challenge**
- **SpaceNet 2: Building Detection v2**
- **SpaceNet 1: Building Detection v1**
- **Airbus Aircraft Detection**
- **Airbus Oil Storage Detection**
- **xView3 Dark Vessel Detection 2021**
- **AFO - Aerial dataset of floating objects** - JĂłzkowy et al, Jun 2020)*
- Ga̧sienica-Józkowy et al. 2021
- **NEON Tree Crowns Dataset**
- DeepForest
- **xView 2018 Detection Challenge**
- Lam et al. 2018
- **Open AI Challenge: Aerial Imagery of South Pacific Islands**
- **NIST DSE Plant Identification with NEON Remote Sensing Data**
- **NOAA Fisheries Steller Sea Lion Population Count**
- **Stanford Drone Data**
- Robicquet et al. 2016
- **Cars Overhead With Context (COWC)**
- Mundhenk et al. 2016
- **FloodNet**
- Rahnemoonfar et al., 2021
- **LoveDA**
- Wang et al., 2021
- **FloodNet Challenge**
- **Dynamic EarthNet Challenge**
- **Sentinel-2 Cloud Mask Catalogue**
- **MiniFrance** - Sud and ONERA, Jul 2020)*
- Castillo-Navarro et al., 2021
- **LandCoverNet: A Global Land Cover Classification Training Dataset**
- Alemohammad S.H., et al., 2020 - earth-insights/radiant-earth-foundation-releases-the-benchmark-training-data-landcovernet-for-africa-7e8906e846a3)
- **LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands and Water from Aerial Imagery**
- Boguszewski et al., 2020
- **95-Cloud: A Cloud Segmentation Dataset**
- Mohajerani et al. 2021
- **Open Cities AI Challenge**
- **DroneDeploy Segmentation Dataset**
- **SkyScapes: Urban infrastructure & lane markings**
- Azimi et al. 2019
- **Open AI Challenge: Caribbean**
- **SpaceNet 5: Automated Road Network Extraction & Route Travel Time Estimation**
- APLS
- **SEN12MS**
- Schmitt et al. 2018
- **Slovenia Land Cover Classification**
- **ALCD Reference Cloud Masks**
- Baetens et al. 2019
- **Agricultural Crop Cover Classification Challenge**
- **RoadNet**
- Liu et al. 2018
- **SpaceNet 3: Road Network Detection**
- Van Etten et al. 2018
- **Urban 3D Challenge**
- **DSTL Satellite Imagery Feature Detection Challenge**
- **SPARCS: S2 Cloud Validation data**
- Hughes, J.M. & Hayes D.J. 2014
- **Biome: L8 Cloud Cover Validation data**
- Foga et al. 2017
- **Inria Aerial Image Labeling**
- **ISPRS Potsdam 2D Semantic Labeling Contest**
- **Airbus Wind Turbine Patches**
- **BigEarthNet: Large-Scale Sentinel-2 Benchmark**
- Sumbul et al. 2019
- **WiDS Datathon 2019 : Detection of Oil Palm Plantations**
- **So2Sat LCZ42**
- **Cactus Aerial Photos**
- López-Jiménez et al. 2019
- **Statoil/C-CORE Iceberg Classifier Challenge** - CORE, Jan 2018)*
- **Functional Map of the World Challenge**
- Christie et al. 2017
- **EuroSAT**
- Helber et al. 2017
- **Planet: Understanding the Amazon from Space**
- **AID: Aerial Scene Classification**
- Xia et al. 2017
- **RESISC45**
- Download Link
- **Deepsat: SAT-4/SAT-6 airborne datasets**
- Basu et al. 2015
- **UC Merced Land Use Dataset**
- Yang & Newsam 2010
- **SEN12MS-CR** - CR-TS**](https://patricktum.github.io/cloud_removal/) *(TUM, Jun 2020)*
- SEN12MS-CR - Ebel et al. 2020 - CR-TS - Ebel et al. 2020](https://ieeexplore.ieee.org/document/9691348)
- **IEEE Data Fusion Contest 2022** - Sud, ONERA, ESA, Jan 2022)*
- Data
- **IEEE Data Fusion Contest 2021**
- **University-1652: Drone-based Geolocalization (Image Retrieval)**
- Zheng et al. 2020
- **IEEE Data Fusion Contest 2020**
- **IEEE Data Fusion Contest 2019**
- Le Saux et al. 2019
- **IEEE Data Fusion Contest 2018**
- Xu et al. 2019
- **DEEPGLOBE - 2018 Satellite Challange**
- Demir et al. 2018
- **TiSeLaC: Time Series Land Cover Classification Challenge**
- **Multi-View Stereo 3D Mapping Challenge**
- **Draper Satellite Image Chronology**
- **awesome-remote-sensing-change-detection**
- **Radiant MLHub Training Data Registry**
- **satellite-image-deep-learning**
Programming Languages
Keywords
dataset
4
remote-sensing
3
pytorch
3
image-segmentation
1
edge-detection
1
centerline-detection
1
vision
1
tier3
1
segmentation
1
python3
1
owner-vision
1
machine-learing-algorithms
1
pytorch-implementation
1
object-detection
1
instance-segmentation
1
evaluation-code
1
dota
1
devkit
1
cvpr19
1
semantic-segmentation
1
domain-adaptation
1
change-detection
1
awesome
1
uav
1
satellite
1
place-recognition
1
multi-source-benchmark
1
image-retrieval
1
geo-localization
1
gem-pooling
1
drone
1
cvusa
1
cvact
1
cross-view
1
awesome-list
1
road-detection
1
multi-task-learning
1
aerial-imagery
1