Download hundreds of labeled images to build a training dataset for a machine learning model.
Quickly gather reference images on a topic without manually saving them from a browser.
Collect images for non-commercial research or personal study around a specific subject.
This is a Python script that searches Google Images and downloads the results to your computer. You give it a search term from the command line and it fetches matching images in bulk, saving them to a local folder. According to the description, it can download hundreds of images in a single run, which makes it useful for quickly assembling a collection of images around a topic without clicking through a browser manually. The script runs from the command line and accepts a range of input arguments, including filters like color. Full documentation with installation instructions, a list of all arguments, and code samples is hosted on ReadTheDocs and linked from the README. The README includes a prominent disclaimer about copyright. Google Images is a search engine that finds images from across the web, but it does not own those images. The original creators hold the copyright. Downloading images through this script does not grant any right to use them freely. The authors specifically note that images in the United States are automatically copyrighted even without an explicit notice, and that reproducing them without permission can carry legal consequences. The script is described as intended for educational purposes only. If you are building a dataset for a machine learning project or studying image content for non-commercial research, this kind of tool is commonly used in that community, though you would still need to verify the licensing terms for any images you intend to use beyond personal study. The script itself is ready to run once installed, with no significant setup beyond having Python on your machine.
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