https://github.com/natowi/photogrammetry_datasets
Collection of 350+ datasets for photogrammetry
https://github.com/natowi/photogrammetry_datasets
awesome collection datasets images photogrammetry
Last synced: about 1 month ago
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Collection of 350+ datasets for photogrammetry
- Host: GitHub
- URL: https://github.com/natowi/photogrammetry_datasets
- Owner: natowi
- License: mpl-2.0
- Created: 2018-10-26T19:58:33.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2024-01-17T20:49:50.000Z (over 2 years ago)
- Last Synced: 2025-02-21T02:02:34.808Z (over 1 year ago)
- Topics: awesome, collection, datasets, images, photogrammetry
- Homepage: https://github.com/natowi/photogrammetry_datasets
- Size: 756 KB
- Stars: 299
- Watchers: 15
- Forks: 46
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Photogrammetry Datasets
This is a collection of datasets for photogrammetry.
A csv-table with **350+ datasets** can be downloaded from this repository: [**datasets.csv**](./datasets.csv).
**Contents**
Dataset,Camera,Category,Author,Organisation/Project,Source,Dataset link,Images,Size in GB,Ground Truth,License,License link,SampleImage,Image Format,DOI,Masks,Description
The list includes a large variety of image sets and sizes.
From small (<20MB), medium (1GB-5GB) to large (up to 350GB) datasets.
**Contributions are welcome**
# Good source
https://openheritage3d.org/data
# New
https://github.com/AlansCodeLog/photogrammetry-test-sets
http://vision.ia.ac.cn/zh/data/index.html Chinese historical buildings 1-5gb (提取码 -> passcode)
http://gpcv.whu.edu.cn/data/WHU_MVS_Stereo_dataset.html large aerial city dataset 57gb with ground truth
https://gumroad.com/l/dSAzI https://wetransfer.com/downloads/59795479cb473c3f64ce26d2c897381020200130025221/4bd61bd60b355c0fd127625b5795785820200130025221/d65978 shared by smallpoly via reddit
["American Rodeo Cowboy"](https://www.dropbox.com/sh/rbegeqgihpp6xwj/AAAWZFLvBCG5PlPIk059vVJpa?dl=0) by hargrovecompany
https://harvest4d.org/?page_id=1367
Creative Commons Attribution (CC-BY)
https://www.gcc.tu-darmstadt.de/home/proj/ambient_point_clouds/apc.en.jsp
https://www.eth3d.net/datasets
https://www.visuallocalization.net/datasets/
https://www.opendronemap.org/odm/datasets/
https://www.capturingreality.com/SampleDatasets
https://data.mendeley.com/datasets/vfz5pz4n8k/3
https://github.com/YoYo000/BlendedMVS
https://github.com/lzx551402/GL3D
https://dronemapper.com/sample_data/
https://github.com/QingyongHu/SensatUrban - Cambridge urban aerial image dataset
https://www.capturingreality.com/SampleDatasets
https://www.capturingreality.com/advent-calendar-datasets
https://github.com/OpenDroneMap/ODMdata
https://www.4seasons-dataset.com/
https://zenodo.org/communities/ladio/?page=1&size=20
# Not accessible
https://lightfield.stanford.edu/lfs.html
https://gmv.cast.uark.edu/index.html