12k labelled instances of dogs in-the-wild with 2D keypoint and segmentations.
Dataset released with our ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.
To use StanfordExtra you will require the annotations and the original images files.
- Annotations are available by filling in the Google form. On completion, you will receive an email with the download link.
- Images can be downloaded from the Stanford Dogs webpage. Download the "Images" tar file.
- The
demo.ipynbcode can be adapted work with the full StanfordExtra dataset. To do this, editing the following lines to match with your Stanford Dogs download and your StanfordExtra download:
# edit this to the location of the extracted StanfordDogs tar file (e.g. /.../Images).
img_dir = "sample_imgs"
# edit this to the location of the downloaded full dataset .json
json_loc = "StanfordExtra_sample.json"
You may be interested in our work performing monocular 3D shape and pose reconstruction for animal subjects. If so, check out the following repositories:
If you have a method that makes use of StanfordExtra please do let us know! Community feedback greatly helps us justify future dataset work.
| Version | Date | Comment |
|---|---|---|
| StanfordExtra_V12 | 01 Feb 2021 | Added missing validation set images, added WLDO splits, fixed compressed segmentations |
| StanfordExtra_V1 | 01 Sept 2020 | Original dataset release |
You may also find the other datasets useful for your animal work:
We are also delighted to hear about your animal-related research! Please do visit Ben's webpage if you would like to get in touch.
If you make use of this annotation dataset, please cite the following paper:
@inproceedings{biggs2020wldo,
title={{W}ho left the dogs out?: {3D} animal reconstruction with expectation maximization in the loop},
author={Biggs, Benjamin and Boyne, Oliver and Charles, James and Fitzgibbon, Andrew and Cipolla, Roberto},
booktitle={ECCV},
year={2020}
}
and the Stanford Dog Dataset from which the images are derived:
@inproceedings{KhoslaYaoJayadevaprakashFeiFei_FGVC2011,
author = "Aditya Khosla and Nityananda Jayadevaprakash and Bangpeng Yao and Li Fei-Fei",
title = "Novel Dataset for Fine-Grained Image Categorization",
booktitle = "First Workshop on Fine-Grained Visual Categorization, IEEE Conference on Computer Vision and Pattern Recognition",
year = "2011",
month = "June",
address = "Colorado Springs, CO",
}
(c) Benjamin Biggs, Oliver Boyne, James Charles, Andrew Fitzgibbon and Roberto Cipolla. Department of Engineering, University of Cambridge 2020
As of 02-NOV-2024, this dataset is now MIT licensed. Enjoy!
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