Geographical Distribution of Mammal Images (Flickr-Mammal dataset)
Authors/Creators
- 1. Microsoft Research
- 2. ETH Zurich
- 3. Carnegie Mellon University
Description
This dataset is created based on the geographical distribution of common mammal images on Flickr.
In this dataset, we provide the metadata of all images in this dataset, including their geotags, license status, URL to the images, and their corresponding countries and geographical regions (based on UN M49 Standard).
We also provide easy-to-use scripts for the user to download the images from their URLs.
If you use this dataset in your research, we would appreciate a reference to the following paper:
Kevin Hsieh, Amar Phanishayee, Onur Mutlu, and Phillip B Gibbons. "The Non-IID Data Quagmire of Decentralized Machine Learning." Proceedings of the 37th International Conference on Machine Learning (ICML 2020).
Bibtex entry
@incollection{icml2020_3152,
author = {Hsieh, Kevin and Phanishayee, Amar and Mutlu, Onur and Gibbons, Phillip},
booktitle = {International Conference on Machine Learning ({ICML})},
pages = {5819--5830},
title = {The Non-{IID} Data Quagmire of Decentralized Machine Learning},
year = {2020}
}
Files
Files
(20.5 MB)
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