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DEW-Downloader

Python3 downloader for the dataset: Date Estimation in the Wild

We provide two versions of the downloader: downloader.py downloader_threads.py

While downloader.py can be used without additional python packages, downloader_threads.py is parallelized and further requires the numpy package.

Both version can be executed in the same way

  1. Download the meta.csv from: https://doi.org/10.22000/0001abcde
  2. Run the script:
  python3 downloader.py -i <path/to/meta.csv>
  python3 downloader.py -i <path/to/meta.csv> -o <path/to/output/folder> # define output folder
  python3 downloader.py -i <path/to/meta.csv> -o <path/to/output/folder> -v # verbose outputs

Images which can not be downloaded are stored in the following file: <path/to/output/folder>/missing_images.csv

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Python3 downloader for the Date Estimation in the Wild dataset

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