How to Detect Bone Fracture using Deep Learning

Опубликовано: 27 Октябрь 2024
на канале: Eran Feit
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In this video, we demonstrate how to implement Object Detection using YOLOv8 and Python, specifically for Detecting bone fractues.

Follow along as we load a trained YOLO model, process images, and visualize both predictions and ground truth annotations.

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/85dad11f25

Link for the dataset : https://universe.roboflow.com/fractur...

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
00:44 Installation
03:32 Download the dataset
09:24 Train
17:40 Predict a test image
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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...