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DroneDeploy NeRF Dataset

DroneDeploy NeRF Dataset ("DNF") contains a number of real world scenes captured by drone that include high resolution images, camera poses (intrinsics and extrinsics) and dense color point clouds. It is intended for computer vision research. All reconstructions were created using DroneDeploy.

Information

NameImageImagesPointsSizePreview
house1house12203M1.7GBPointcloud preview
house2house295225M8.6GBPointcloud preview
house3house31825M1.4GBPointcloud preview
house4house436710M5.2GBPointcloud preview
ruins1ruins13916M3.1GBPointcloud preview
ruins2ruins2117456M9.3GBPointcloud preview
ruins3ruins353912M4.4GBPointcloud preview
tower1tower178342M6.1GBPointcloud preview
tower2tower268416M5.4GBPointcloud preview
pipes1pipes1987M1.3GBPointcloud preview

Download

Download Links: https://drive.google.com/drive/folders/1kMHAS5l9Zy9yWHp6N4icm2xC7sIeThs7

Structure

house1/
   - cameras.xml
   - images
      - 00001.jpg
      - 00002.jpg
      - 00003.jpg
   - points
      - points.ply
house2/ ...
house3/ ...
  ...

The cameras.xml contains the poses of each camera along with the distortion parameters, intrinsics and extrinsics. See tools/util.py for working with this file directly. The images directory contains the images and points/points.ply contains the dense pointcloud with x,y,z,red,green,blue.

Tools

The tools directory contains an expanding collection of tools for working with and transforming the dataset. Contributions are welcome.

tools/dd2ngp.py - create a cameras.json ready for use with Instant Neural Graphics Primitives. The default cameras.json is included in each zip of the dataset and uses the 50 nearest images to the center of the scene. If you want to use different cameras you can use this script to re-generate a cameras.json.

Usage

instant-ngp$ ./build/testbed --scene ./datasets/house1/cameras.json

ngp

or

python scripts/run.py --mode="nerf" --scene="house1/cameras.json" --screenshot_transforms="house1/cameras.json"  --width="1216" --height="912" --screenshot_dir="house1/output" --near_distance="0"  --screenshot_spp="16"

script

License and Citation

@misc{Pilkington2022,
  author = {Nicholas Pilkington},
  title = {DroneDeploy NeRF Dataset},
  year = {2022},
  month = may
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/nickponline/dd-nerf-dataset}},
}

This work is made available for academic use under CC BY-NC-SA. For commercial use and queries please contact support@dronedeploy.com.