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Yolo v3 Introduction to object detection with TensorFlow 2
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When I got started learning YOLO v3, I noticed that it’s really difficult to understand both the concept and implementation. Even though there are tons of blog posts and GitHub repository about it, most of them are presented in complex architectures.
I am not going to cover how Yolo works in theory step by step. I’ll try to cover more in detail all parts from the past tutorial and parts I missed last time. If you are interested you can check my past tutorial, where I tried to explain a whole theory in it. Although I implemented it in TensorFlow 1.15. But more and more people write to me about errors, because they try my code within TF 2.0 or above, so I decided that it’s time to write YOLO v3 implementation to TensorFlow 2.1.
Based on that experience, I will try to write code in this tutorial to make it easy and reusable for many beginners who just got started learning object detection. Without over-complicating things, with this tutorial, you will be able to simply implement Yolo v3 in TensorFlow 2.1. In this tutorial series, I will give you solutions on how to train the Yolo model for your own custom dataset locally or even on Google Colab (received a lot of requests).
✅ Support My Channel Through Patreon:
✅ One-Time Contribution Through PayPal:
I am not going to cover how Yolo works in theory step by step. I’ll try to cover more in detail all parts from the past tutorial and parts I missed last time. If you are interested you can check my past tutorial, where I tried to explain a whole theory in it. Although I implemented it in TensorFlow 1.15. But more and more people write to me about errors, because they try my code within TF 2.0 or above, so I decided that it’s time to write YOLO v3 implementation to TensorFlow 2.1.
Based on that experience, I will try to write code in this tutorial to make it easy and reusable for many beginners who just got started learning object detection. Without over-complicating things, with this tutorial, you will be able to simply implement Yolo v3 in TensorFlow 2.1. In this tutorial series, I will give you solutions on how to train the Yolo model for your own custom dataset locally or even on Google Colab (received a lot of requests).
✅ Support My Channel Through Patreon:
✅ One-Time Contribution Through PayPal:
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