How to Detect Dogs using Deep learning
In this tutorial, we delve into the world of *computer vision* by creating a **YOLOv8-based dogs breed object detection ** using **Deep learning **.
What you'll learn:
How to import and utilize the YOLOv8 model from the Ultralytics library.
How to convert annotations from XML format to Yolo format
How to load and interpret annotation data from a YAML file.
How to train your YOLOv8 model with a dogs dataset.
How to make predictions and draw bounding boxes around detected dogs.
Code for the tutorial : https://ko-fi.com/s/3021f127ba
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
00:40 Installation
03:36 Download the dataset & Prepare the data
18:10 Convert all annotations
18:40 Predict a test image
32:54 Train
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#EranFeit #objectdetection #yolov8
~~~~~~~~~~~~~~ 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...
On this page of the site you can watch the video online How to Detect Dogs using Deep learning with a duration of hours minute second in good quality, which was uploaded by the user Eran Feit 20 August 2024, share the link with friends and acquaintances, this video has already been watched 109 times on youtube and it was liked by 2 viewers. Enjoy your viewing!
