RT-DETR vs RT-DETRv2: Full Comparison | Real-Time Object Detection Tutorial

Unlock the next level of real-time object detection! In this comprehensive tutorial, we compare two cutting-edge models: RT-DETR and its advanced successor, RT-DETRv2. Discover how these transformer-based detectors stack up against each other-and against popular models like YOLO-in terms of speed, accuracy, and versatility.

What you'll learn in this video:
The evolution from DETR to RT-DETR and RT-DETRv2
Key architectural differences and improvements
Real-world performance: small object detection, long-distance accuracy, and multi-task flexibility
Step-by-step code walkthrough using Python
Live demos on images and videos, including crowded scenes and edge cases
Which model is best for your use case: surveillance, robotics, autonomous vehicles, or scalable deployment

BLOG: https://www.labellerr.com/blog/rt-det...

NOTEBOOK: https://github.com/Labellerr/Hands-On...

Chapters
0:00 Introduction
0:35 Understanding DETR: The Original Model
1:51 Introduction to RT-DETR
2:48 RT-DETRv2: Improvements and Features
4:09 Setting Up the Environment
5:03 Loading and Processing Sample Image
6:58 Object Detection with RT-DETR
8:47 Object Detection with RT-DETRv2
9:50 Long-Distance Detection: Elephants and Zebras
10:57 Small Object Detection: Sheep Example
11:56 Another Sheep Detection Example
13:06 Real-Time Inference on Video: Football Match
14:24 Conclusion and Further Resources

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