ImageScraper is a web scraper which goal is to collect at most N images belonging at a user's category joined to the same amount of images of other 3 default categories:
- Animals
- Objects
- People
This scraper is really useful when you want to create a dataset of Web Images to adopt for developing your model classification.
Possible Applications:
- Image Classification
- Creation of noise dataset
Actually, the Image Scraper is going to collect images only from Bing Search
- Clone the repository and get in imagescraper.
- Run the following command:
python3 imagescraper.py -i <category_to_search> -n <num_of_images> -o <output_folder>
WARNING: output_folder is the full path at the folder where you want to store images.