🚀 Automatically Label Images with Vision Transformers! 🚀
In this tutorial, I’ll show you how to use OWLv2, a powerful Vision Transformer, to automatically label images without manual annotations! This AI-based approach makes object detection and dataset creation easier than ever.
🔥 What You’ll Learn:
✅ How to set up OWLv2 for automatic image labeling
✅ How to define an ontology for object detection
✅ How to process multiple images and generate annotations
✅ How to use Autodistill for efficient dataset creation
Code for the tutorial : https://ko-fi.com/s/aaefd3dccf
You can find more computer vision tutorials in my blog page : https://eranfeit.net/blog/
You can find more Visual Language models tutorials tutorials in this playlist : https://www.youtube.com/playlist?list=PLdkryDe59y4a2PRJda-Z7M7Sod7uQKT2d
You can find more image classification tutorials in this playlist : https://www.youtube.com/watch?v=8k6oNjl2EgE&list=PLdkryDe59y4aytIPjci6_fn3B1-QuM-Oh
~~~~~~~~~~~~~~~ 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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~~~~~~~~~~~~~~ Chapters ~~~~~~~~~~~~~
00:00 Introduction
02:02 Installation
05:52 Automatic Labeling for one image
13:30 How to process multiple images and generate annotations
21:04 Test the results
~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~
Music by Vincent Rubinetti
Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
Stream the music on Spotify: https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u