Master Computer Vision and Boost Your Portfolio with These 10 End-to-End Projects

Computer Vision is one of the fastest-growing fields in the tech industry today. With the ability to interpret and analyze visual data, Computer Vision has opened up a wide range of possibilities, from facial recognition to self-driving cars.

If you are interested in developing your skills in this field and building your portfolio, this article is for you. In this article, we have compiled a list of 10 end-to-end projects that will help you master Computer Vision and showcase your skills to potential employers.

From building a deep facial recognition app to real-time sign language detection, these projects cover a wide range of applications and technologies. So, let’s get started and take your Computer Vision skills to the next level!

Photo by Radek Grzybowski on Unsplash

Table of Contents:

1. Build a Deep Facial Recognition App from Paper to Code
2. Real-Time Sign Language Detection Web App
3. Building Computer Vision Mobile Apps
4. Building an Image Search Engine with Python and OpenCV
5. Vehicle Detection, Tracking, and Speed Estimation using a Raspberry Pi & Intel Movidius NCS
6. MaskFormer Segmentation Model with Hugging Face Transformers