Yolo-Nas Step by Step Guide to Object Detection
YOLO-NAS is a game-changer in object detection model developed by Deci and delivers superior real-time object detection capabilities and production-ready for production.
The primary claim of Yolo-NAS is that it can detect small objects better than the previous models.
In this computer vision tutorial video, we will run inference of Yolo-NAS model on images. We will learn two methods for extracting and displaying the detected objects.
Code for the tutorial : https://ko-fi.com/s/1be8eb8109
You can find more computer vision tutorials in my blog page : https://eranfeit.net/blog/
You can find more projects and tutorials in this playlist : • Best Object Detection models
~~~~~~~~~~~~~~~ recommended courses and books ~~~~~~~~~~~~~~~
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, https://amzn.to/44GnlLW : "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners ".
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~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~
Music by Vincent Rubinetti
Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/a...
Stream the music on Spotify: https://open.spotify.com/album/1dVyjw...