Teeth Detection using Deep learning | Yolo V8
Welcome to our tutorial on detecting teeth names using YOLOv8 and Python!
In this video, we guide you through the process of setting up and using the YOLOv8 model to detect and label teeth in images, using a custom dataset.
What you'll learn:
How to import and utilize the YOLOv8 model from the ultralytics library.
How to load and interpret annotation data from a YAML file.
How to train your YOLOv8 model with a custom teeth dataset.
How to make predictions and draw bounding boxes around detected teeth.
Code for the tutorial : https://ko-fi.com/s/1479347c90
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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00:00 Introduction
00:18 Installation
05:29 Download the dataset / Data discovery
18:07 Train
26:41 Test the model
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#EranFeit #objectdetection #yolo
~~~~~~~~~~~~~~ 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...