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Master Computer Vision, Image Processing & Deep Learning

Want To Learn About The Best Computer Vision Courses, Books, Tutorials, etc. Then Download our Free Computer Vision Guide. 

Artificial Intelligence: 4 Levels of Explanation Part 1 (Episode 3 | CVFE)

We’re publishing a 4 part tutorial/video series on AI as part of our CVFE course, we will focus on giving

Computer Vision For Everyone: Course Introduction (Episode 1 | CVFE)

Ever heard the term ‘Computer vision’ and wondered what it is? Or did you ever wanted to learn how different

What Is Computer Vision – A very Simple Explanation (Episode 2 | CVFE)

You can Watch Video Version of this post below In today’s post, we’ll go through a very basic high-level overview

Free Computer Vision Resource Guide

It’s been a while since I’ve published a tutorial at Bleed AI, so why not start with something really useful,

Training a Object Detector with Tensorflow Object Detection API

This is a really descriptive and interesting tutorial, let me highlight what you will learn in this tutorial. A Crystal

About Me

About Me

Founder

I’m Taha Anwar, a Computer Vision Engineer, an Applied Scientist, Entrepreneur, and a Mensan. In the past few years alone I have taught Computer Vision courses in Universities, delivered Seminars in events like Pycon, Google Developer Groups, etc, and various other prominent universities. Opensourced a number of computer vision applications and also published a convenience library in Vision on PyPI. Published a number of interesting High-Quality blog posts in Vision here at Bleed AI and some at LearnOpenCV.com. Published a State of the Art course in Computer Vision in Urdu/Hindi language which is unparalleled by any university course in vision. I have also worked with the Official OpenCV.org team for a few years. Bleed AI is my brainchild and in this website and our YouTube Channel, I release interesting tutorials weekly in order to educate engineers, scientists, students, hobbyists, about Computer Vision, image processing, machine learning, and deep learning.

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