https://github.com/fpingham/google-images-dataset

This repository provides the necessary code to create your own Google Images Dataset.
https://github.com/fpingham/google-images-dataset

Last synced: about 2 months ago
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This repository provides the necessary code to create your own Google Images Dataset.

• Host: GitHub
• URL: https://github.com/fpingham/google-images-dataset
• Owner: fpingham
• Created: 2018-10-25T05:33:33.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2018-10-26T18:16:02.000Z (almost 6 years ago)
• Last Synced: 2024-04-18T00:06:44.953Z (5 months ago)
• Language: Jupyter Notebook
• Size: 3.07 MB
• Stars: 112
• Watchers: 2
• Forks: 17
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# google-images-dataset

This repository provides the necessary code to create your own Google Images Dataset in the form of an interactive Jupyter Notebook. Unlike other downloaders, to the best of my knowledge, this method respects [Google's Terms of Service](https://support.google.com/webmasters/answer/66357?hl=en).

To be able to run this tutorial you will need to have the latest version of the fastai library installed. 

If using conda:

``` bash

conda update conda

conda install -c fastai fastai

```

If using pip:

```bash

pip install fastai

```

Credits to Jeremy Howard as co-author and Adrian Rosenbrock's [tutorial](https://www.pyimagesearch.com/2017/12/04/how-to-create-a-deep-learning-dataset-using-google-images/) for inspiration.