Check out our latest video tutorial!
In this tutorial, we show you how to create a voice-controlled object detection system using the YOLO 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 is perfect for anyone interested in learning about object detection, speech recognition, or just wants to build a cool project that combines the two. 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.
If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here : http://bit.ly/3HeDy1V
Before we continue, I actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N
You can find more similar tutorials in my blog posts page here : https://eranfeit.net/blog/
check out our video here: https://youtu.be/fd1msoIpM5Q&list=UULFTiWJJhaH6BviSWKLJUM9sg
Code for this video: https://ko-fi.com/s/90dee146e6
Enjoy,
Eran