Image Scraper: Automated Image Collection
A Streamlit-based web tool that automates large-scale image scraping from Google Images, built to help ML practitioners quickly generate custom datasets for deep learning projects.
About the Project
Image Scraper is a focused, no-frills automation tool designed for data scientists who need clean, keyword-specific image datasets without the manual grind. Inspired by the friction of sourcing training data from scratch, it wraps browser automation and image processing into a simple, interactive interface anyone can run locally.
Built for ML practitioners, students, and researchers, it provides a fast pipeline that feels lightweight yet capable — allowing users to go from keyword to dataset in minutes, without writing a single scraping script themselves.
Built for Speed, Designed for Simplicity
The idea behind this project was to remove the most tedious part of building image classifiers: collecting the data. Every decision, from the Streamlit UI to the Selenium backend, was made to keep the workflow linear and friction-free. It balances automation power with everyday usability, resulting in a tool that is both practical for beginners and genuinely useful for production dataset building.
