How to Build a Real-Time Object Detection with your own voice
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 :
Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4
Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks
Before we continue, I actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N
check out our video here:
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 det...
You can find the code in the video description.
Enjoy,
Eran
#Python #OpenCV #ObjectDetection #ComputerVision #googlespeechrecognition #speechrecognition #Yolo
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