StanfordExtra

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.

• Project page
• Paper

Usage

To understand how the dataset can be used, please read demo.ipynb.

Installation

• All annotations, segmentations and metadata are sourced in a single .json file for ease of download. However, you will also need to download the Stanford Dogs Dataset dataset to access the raw images.

• For segmentation decoding, install pycocotools

python -m pip install "git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI"

• The demo.ipynb code is trivial to adapt to work with the full StanfordExtra dataset, by editing the line

img_dir = "sample_imgs" # Edit this to the location of the extracted tar file (e.g. /.../Images).

Download & Versioning

The latest version of StanfordExtra is available for download within this repo. To view all released versions, view the archive.

• Version 1.0 [23/08/20] - Initial release for ECCV 2020, 12k instances
• Version 0.1 [13/08/20] - Beta release, 11k instances

Comments

You may also find the other datasets useful for your animal work:

• Animal Pose Dataset
• RGBD-Dog Dataset
• BADJA

We are also delighted to hear about your animal related activities! Please do visit Benjamin Biggs to get in touch.

Acknowledgements

If you make sure 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",
}

Licensing

Non-commercial use only. Please contact us if you wish to use this dataset for commercial purposes. Data is provided `As-is', we take no liability for any errors.