(Urdu/Hindi ) Learn how to make an ML classifier without programming or installing anything.

By Taha Anwar

On January 25, 2020

Teachable Machine Version 1 (Google AI Experiments) 

In this video lesson I’ll teach you how to create an Image Classifier without actually coding. For this I’m using Teachable Machine version 1 which is part of Google AI Experiments. This application allows you to create image classifiers and introduces computer vision to new comers in a really fun and exciting way. I also go in the technical working of this application so people who already have some fundamental knowledge about about building classifiers can benefit from this.

Here’s the link to access this amazing tool. This is version 1, version 2 of this has also been released which deals with pose and voice recognition and even lets you export the models.

I’m offering a premium 3-month Comprehensive State of the Art course in Computer Vision & Image Processing with Python (Urdu/Hindi). This course is a must take if you’re planning to start a career in Computer vision & Artificial Intelligence, the only prerequisite to this course is some programming experience in any language.

This course goes into the foundations of Image processing and Computer Vision, you learn from the ground up what the image is and how to manipulate it at the lowest level and then you gradually built up from there in the course, you learn other foundational techniques with their theories and how to use them effectively.

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Things You Must Know About OpenCV, Revealing my Best Tips from Years of Experience

Things You Must Know About OpenCV, Revealing my Best Tips from Years of Experience

Today’s Video tutorial is the one I wish I had access to when I was starting out in OpenCV, in this video I reveal to you some very interesting information about the opencv including great tips regarding when to find the right resources, tutorials for the library. I’ll start by briefly going over the history of OpenCV and then talk about other exciting topics.

Vehicle Detection with OpenCV using Contours + Background Subtraction

Vehicle Detection with OpenCV using Contours + Background Subtraction

In this video we will explore how you can perform tasks like vehicle detection using a simple but yet an effective approach of background-foreground subtraction. You will be learning about using background-foreground subtraction along with contour detection in OpenCV and how you tune different parameters to achieve better results.

(Video) Contour Detection 101: Contour Analysis (Pt:3)

(Video) Contour Detection 101: Contour Analysis (Pt:3)

This video is the third and final part of our mini-series Contour Detection 101. Since we have already learned to detect and manipulate contours in previous parts, in this video, I’ve covered Contour Analysis which will make you capable of detecting and recognizing objects in images, and videos and build some interesting applications like Real-time Shape detection.

In our upcoming course named Building Applications with Contours in OpenCV, I am gonna teach you to build Computer Vision applications using the concepts you have learned in the mini-series. The course will be released soon on our site so stay tuned for it.


Check Out Our Computer Vision & Python Course