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This repository contains multiple ways to download public images to build general purpose image datasets for Computer Vision

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Nachimak28/public_image_download_methods

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Building image datasets with public images on the web

Note: Check the individual notebooks for the download instructions and flags. All these methods can be run via a python script too.

Method 1

Using the HuggingFace image search API

HuggingFace

Method 2

With the help of DuckDuckGo

A prerequisite here is to install the DuckDuckGoImages (preferrably in a virtualenv or conda environment)

  • Installing the original package
pip install DuckDuckGoImages
  • Install my fork with a progress bar
# clone the repo
git clone git clone https://github.com/Nachimak28/DuckDuckGoImages

# change directory into the cloned repo folder
cd DuckDuckGoImages

# switch to branch progress-bar-display
git checkout git checkout progress-bar-display

# install the package
python setup.py install

Using the DuckDuckGoImage package

DuckDuckGoImages

Method 3

Using the Fatkun Batch Downloader Image Chrome extension Fatkun Batch Downloader Image

Note: Be careful while installing chrome extensions. Review their Privacy practices

This is another options to download images using the extension but the Methods 1 and 2 are helpful when downloading images directly on a server.

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