Train Your Own Object Detector with Detectron2
Want to train your own object detection model? In this video, you'll learn how to use Detectron2, a powerful deep learning framework, to build a custom object detector in Python. We'll walk you through the entire process, from setting up your dataset and training your model to making predictions on new images.
Even if you're new to deep learning, this beginner-friendly tutorial will guide you step-by-step. Here's what you'll learn:
Installing and setting up Detectron2
Preparing your custom object detection dataset (annotations & images)
Training your model with Detectron2 (including configuration options)
Using your trained model for object detection on new images
Visualizing the results with bounding boxes and class labels
Code for the tutorial : https://ko-fi.com/s/1fe324a978
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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~~~~~~~~~~~~~~ Chapters ~~~~~~~~~~~~~
00:00 Introduction
00:16 Installation
01:27 Annotate the data
08:12 Discover and load the data
14:11 Train the model
29:07 Test the model
~~~~~~~~~~~~~~ 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...