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Scrapes and download images from http://ecosia.org with list of search queries stored in .csv file and then groups them automatically into there appropriate folders. Created the scrapper while I was collaborating with @Emmarex on Vegetables recognition and classification Model to make a dataset to use to train the AI.

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Scrapes and download images from http://ecosia.org with list of search queries stored in .csv file and then groups them automatically into there appropriate folders. Created the scrapper while I was collaborating with @Emmarex on Vegetables recognition and classification Model to make a dataset to use to train the AI.

How to use

Clone this repository and the install the dependencies.

    $ git clone https://github.com/ahkohd/ecosia.org-image-scrapper.git
    $ cd ecosia.org-image-scrapper
    $ npm install

Then run, in the project folder run the following command

    // $ node scrap [pathToTheCSVFile] [numberOfPicturesPerQuery]
    // for example
    $ node scrap ./veg.csv 5

An that's it :-)

Options

  • [pathToTheCSVFile] The path to the csv file that contains queries to scrape from ecosia.org default: ./veg.csv
  • [numberOfPicturesPerQuery] Number of pictures to scrape per query default: 4

License

The MIT License

About

Scrapes and download images from http://ecosia.org with list of search queries stored in .csv file and then groups them automatically into there appropriate folders. Created the scrapper while I was collaborating with @Emmarex on Vegetables recognition and classification Model to make a dataset to use to train the AI.

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