YOLOv10: A Leap Away from NMS - Advanced Object Detection Explained

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In our latest video, we explore YOLOv10, a significant leap forward in the YOLO series, eliminating non-maximum suppression (NMS) and introducing several enhancements.
~ Overview of YOLOv10 and its six models, catering to different deployment needs from mobile to high-accuracy scenarios.
~ Detailed explanation of the new dual assignment method for NMS-free training.
~ Efficiency-accuracy driven model design, focusing on lightweight classification and critical regression heads.
~ Practical demonstration of running inference with YOLOv10 using a provided starter code.
~ Comparative analysis of YOLOv10, YOLOv9, and YOLOv8 on different datasets and scenarios.
~ Insights into model performance, especially on small objects and under challenging conditions like underwater scenes.
💡 What You’ll Learn:
Understanding the advancements in YOLOv10 over previous models.
How to install and run inference with YOLOv10 using a sample code.
Practical insights into the performance and applications of YOLOv10.
Comparison of YOLOv10 with YOLOv9 and YOLOv8 on various benchmarks.
Watch our video on Learn OpenCV to dive deep into the implementation and advancements of YOLOv10.
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[@JoePelusoMedia]

I love how happy you are! Thanks for sharing

[@umeshshrestha9650]

can you add the attention layer in yolov9?

[@vanshikaagarwal6659]

sir how to find accuracy graph of it ?

[@NakulMali-j6d]

Hell Sir Thanks for your all videos and efforts. I am following your channel, but I request you please upload one detail video on how to finetuning Yolov5 model for custome images classification.

[@Rejaxone]

Waw, i'm still learning yolov8 then ten comes out

[@dshlai]

Finally we might get rid of NMS 😂

[@LearnOpenCV]

☺