Data Science & Machine Learning Project - Part 2 Data Collection | Image Classification

There are 4 different ways of collecting data for our project,

(1) Manually download images from google images
(2) Use python and web scrapping to automate downloading images from google. Here is the article on how you can do that: https://towardsdatascience.com/image-scraping-with-python-a96feda8af2d
(3) Use a chrome extention called fatkun. You can download that from here: https://chrome.google.com/webstore/detail/fatkun-batch-download-ima/nnjjahlikiabnchcpehcpkdeckfgnohf?hl=en
(4) Buy these images from third party vendor who is selling images database. Sometimes if a company is in sports or news domain they might have internal database of these images. You can work with engineering team that owns that database and get an access of those images

00:00 Overview
00:38 Manually download images from google
01:03 Use python and web scrapping
03:29 Use a chrome extension called fatkun
04:20 Buy data from third party vendor for a price

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You need to download chrome extension based on your chrome version: https://chromedriver.chromium.org/downloads
Put chromedriver.exe in same folder as image_download.py

Github link for google image scrapping code: https://github.com/codebasics/py/blob/master/DataScience/CelebrityFaceRecognition/google_image_scrapping/image_download.py
Link for dataset if you want to download directly: https://github.com/codebasics/py/tree/master/DataScience/CelebrityFaceRecognition/images_dataset

Special thanks to,

Ken Jee (https://www.youtube.com/channel/UCiT9RITQ9PW6BhXK0y2jaeg) : For suggesting fatkun
Debjyoti Paul (Amazon Data Scientist): For help with entire project
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