Geographical Distribution of Mammal Images (Flickr-Mammal dataset)
<p>This dataset is created based on the geographical distribution of common mammal images on Flickr.</p> <p>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 <a href="https://unstats.un.org/unsd/methodology/m49/">UN M49 Standard</a>).</p> <p>We also provide easy-to-use scripts for the user to download the images from their URLs.</p> <p>If you use this dataset in your research, we would appreciate a reference to the following paper:</p> <p>Kevin Hsieh, Amar Phanishayee, Onur Mutlu, and Phillip B Gibbons. "<a href="https://proceedings.icml.cc/static/paper_files/icml/2020/3152-Paper.pdf">The Non-IID Data Quagmire of Decentralized Machine Learning</a>." <em>Proceedings of the 37th International Conference on Machine Learning (ICML 2020)</em>.</p> <p>Bibtex entry</p> <pre><code>@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} }</code></pre> <p> </p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 0