October 2018
Intermediate to advanced
246 pages
6h 26m
English
Content preview from Machine Learning Projects for Mobile Applications
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Building the dataset
To build our own classifier, we need to have datasets that contain images with and without Pikachu. You can start with 1,000 images on each database and you can pull down such images here: https://search.creativecommons.org/.
Let's create two folders named pikachu and no-pikachu and drop those images accordingly. Always ensure that you have the appropriate licenses to use any images, especially for commercial purposes.
Image scrapper from the Google and Bing API: https://github.com/rushilsrivastava/image_search.
Now we have an image folder, which is structured as follows:
/dataset/ /pikachu/[image1,..] /no-pikachu/[image1,..]
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