Learn what's new in YOLOR and how it compared with YOLOv7
Hello trend,
This is Satya Mallick from LearnOpenCV.com.
In today's post - YOLOR Object Detection Paper Explanation and Inference , we will discuss about the YOLOR Object Detector.
You will learn about what's new in YOLOR. We will discuss about the architecture, loss functions, and practical improvements done for making YOLOR a real-time object detector.
Without further ado, let's jump into the details of YOLOR:
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!
In case you missed it, here's the complete list of posts from the YOLO series:
YOLOv6 Custom Training for Underwater Trash Detection YOLOv6 Object Detector Paper Explanation and Inference 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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