ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints. Datasets, Benchmark Results, and Torch Files.

<div> <div># ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints. Datasets, Benchmark Results, and Torch Files.</div> <br> <div>## Table of Contents</div> <br> <div>- [Overview](#overview)</div> <div>- [Folder Structure](#folder-structure)</div> <div>- [Contents](#contents)</div> <div>- [Licenses](#licenses)</div> <br> <div>## Overview</div> <div>This project contains three datasets along with stored results from the conducted benchmark analysis and torch files for running or reproducing active learning experiments.</div> <br> <div>## Folder Structure</div> <br> <div>```plaintext</div> <div>conBatchBAL_datasets/</div> <div>├── benchmark_results/</div> <div>├── benchmark_torch_files/</div> <div>├── build6k/</div> <div>├── mnist6k/</div> <div>└── nieman17k/</div> <div>```</div> <br> <div>## Contents:</div> <div>- benchmark_results/: This directory contains the results and config files for reproducing the experiments presented in the paper.</div> <br> <div>- benchmark_torch_files/: This folder contains the required torch (and json) files to run/reproduce active learning experiments.</div> <br> <div>- build6k/: This folder contains approximately 6000 aerial images of buildings in Rotterdam with their corresponding energy efficiency class and geolocation.</div> <br> <div>- mnist6k/: This folder contains approximately 6000 images of digits *artificially* geolocated in Rotterdam. The geolocations correspond to the buildings contained on the *build6k* dataset.</div> <br> <div>- nieman17k/: This folder contains approximately 17000 aerial images of buildings in Rotterdam with their corresponding typology class and geolocation.</div> <br> <div>**Additional readme files are included in each directory.**</div> <br> <div>## Licenses</div> <br> <div>- build6k/</div> <div>The build6k dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) [LICENSE](https://creativecommons.org/licenses/by/4.0/), allowing for use, distribution, and modifications with proper attribution.</div> <br> <div>- mnist6k/</div> <div>The mnist6k dataset is released under the CC BY-SA 3.0 [LICENSE](https://creativecommons.org/licenses/by-sa/3.0/).</div> <br> <div>- nieman17k/</div> <div>The nieman17k dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) [LICENSE](https://creativecommons.org/licenses/by/4.0/), allowing for use, distribution, and modifications with proper attribution.</div> <br> <div>- Benchmark Results and Torch Files</div> <div>The benchmark results and Torch files generated as part of this project are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) [LICENSE](https://creativecommons.org/licenses/by/4.0/), allowing for use, distribution, and modifications with proper attribution.</div> <br> <div>**License details are included separately in each directory**</div> </div>