Hello trend,
This is Satya Mallick from LearnOpenCV.com.
In today's post - YOLOv6 Object Detection Paper Explanation and Inference, we will discuss about the YOLOv6 Object Detector.
How come YOLOv6 is released after YOLOv7?
YOLOv6 initial version was released on June 23, 2022 via a blog article (no paper) by engineers working at Meituan. Just 2 weeks later, YOLOv7 was released which we covered in one of our previous post. Finally, after making changes to their approach and getting state-of-the-art results, YOLOv6 authors released the paper (naming it YOLOv6 version 2) on September 7, 2022. I hope the mystery is solved now :)
In the blog post, You will learn about what's new in YOLOv6. We will discuss about the architecture, loss functions, and practical improvements done for making YOLOv6 a real-time object detector.
Without further ado, let's jump into the details of YOLOv6:
| YOLOv6 Paper Explanation & Comparison |
We have provided the link to Google Colab as well as instructions to use it on your local system. Do star us on GitHub to say thanks!
| Download Code (GitHub) |
In case you missed it, here's the complete list of posts from the YOLO series:
- YOLOX Object Detector and Custom Training on Drone Dataset
- YOLOv7 Object Detector Training on Custom Dataset
- YOLOv7 Object Detector Paper Explanation and Inference
- YOLOv5 Custom Object Detector Training on Vehicles Dataset
- YOLOv5 Object Detection using OpenCV DNN
- YOLOv4 - Training a Custom Pothole Detector
Is there any other YOLO model that you want us to research upon?
Cheers!
Satya
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