YOLOv10 Comparison with Latest YOLO models

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In this video, we test the speed 3 newest and best YOLO variants. To be more specific
YOLOv8-X
YOLOv9e
YOLOv10-X

Watch till the end to know the average FPS comparison.

🖥️ Computer Specifications
Processor : Intel Core i7
RAM : 16 GB
GPU : NVIDIA Geforce RTX 3060
GPU RAM : 12 GB

📱 Well, if you want to dive deeper YOLOv10, check out our 4-IN-ONE YOLO Course covering YOLOv10, YOLOv9, YOLOv8, and YOLOv7!

#yolov10 #yolov9 #yolocomparison #yolov8 #objectdetection
#deeplearning #ai #yolo
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Want to MASTER YOLOv10 Object Detection?
Check out our FOUR-IN-ONE YOLO Course covering YOLOv10, YOLOv9, YOLOv8, and YOLOv7!

Dr.Priyanto.Hidayatullah
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Good video. Yolov10 processes faster but is more imprecise.

Yolov8 and Yolov9 seem similar. I think Yolov8 is a little better with distant objects.

germancruz
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Hey, I am trying to make a conveyor belt tear detection model. Based on your comparison, which version would you recommend: YOLOv8, YOLOv9, or YOLOv10?

ramyeonmokja
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V8 better pak, butuh yang lebih akurat di robot

salmanalfarisi
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It seems like you are working with confidence above 0.2
I don't know if the footage is 720p or 1080p, can you please share the resolution?
I would like to test the performance of the nano versions of each model by using a 1080p and 2k images.

gabrielnilo
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this is very slow for rtx3060
u should get around 700-800 fps if u quantized the model with int8 or int4

taloot
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Nice, Can you please tell me how I will create the loss curve of yolov10, yolov9, and yolov8 for comparison on a single graph?.

rajmeetsingh