How to Build a Real-Time Object Detection with your own voice

In this video, we'll show you how to create a voice-controlled object detection system using the YOLO (You Only Look Once) algorithm. By combining object detection with speech recognition, you can create a system where you can say a word or phrase, and the system will detect the specified object in the camera frame and draw a rectangle around it. This hands-on tutorial will guide you step-by-step through the process of building the system using Python and various audio libraries and Google "speech_recognition".

Whether you're interested in learning about object detection, speech recognition, or just want to build a cool project that combines the two, this tutorial is for you. You'll learn about YOLO, how to set up the necessary libraries, how to train your model, and how to use voice commands to detect specific objects in real-time. By the end of this tutorial, you'll have a fully functional voice-controlled object detection system that you can use to impress your friends or even integrate into your own projects.

Code for this video: https://github.com/feitgemel/Open-CV/tree/main/DetectByAudio

You can watch more of my deep learning videos here : https://youtube.com/playlist?list=PLdkryDe59y4Ze9_12JhWu3cs-lOGYwYeD

And more cool stuff here : https://youtube.com/playlist?list=PLdkryDe59y4YOtOt2jqSjxGFe9BNh4wug

A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V 
I also recommend this book for deep dive in deep learning : https://amzn.to/3TTZym7

I am using these cameras in this video : https://youtu.be/fd1msoIpM5Q

Logitech C270 , Simple and basic camera : https://amzn.to/37CAPjO
Logitech HD Pro Webcam C920 , A very good camera : https://amzn.to/3rM1Lof


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https://www.youtube.com/watch?v=fd1msoIpM5Q