In this project, I've built a Computer Vision model to help a client to detect e-commerces websites.

Problem

• The client had a solution to detect if a website is an e-commerce or not and would like to improve the accuracy of detection.

Task

• Build a Computer Vision model to detect basket icons on the images.

Solution

• The client takes a screenshot of the main page of the website.
• I've built an object detection model using Tensorflow to find basket icons on the screenshot image.
• The model was trained with ~ 3000 images with a diverse set of basket icons.
• The model accuracy was 95.5%
• I've built a web app so the client could test the solution.

Results

• I've created a REST API to serve the model in production and package it all in a Docker container so it can be easily deployed and scaled.

• The client integrates the API in his solution and improves the e-commerces detection.

• Here is the client feedback about the project:

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Source code

As this is a private project, the source code is not available.

You can check the tools I've used and try them by yourself or just send me a message so we can work together.

Built With

• Python - Programming Language.
• Tensorflow - An end-to-end open source platform for machine learning.
• FastAPI - A web framework for building APIs with Python.
• Docker - Industry standard for containers.