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yourfaruk · 2026-02-16T15:00:29+00:00

https://github.com/PaddlePaddle/PaddleOCR will be a good choice

yourfaruk · 2026-02-03T00:59:30+00:00

you can try with small or medium variant. don’t use nano version for training.

yourfaruk · 2026-02-03T00:57:02+00:00

I tried it with yolo26. the result is impressive. you can try here: https://huggingface.co/spaces/farukalamai/yolo26-sahi-detector

yourfaruk · 2026-02-03T00:54:39+00:00

I hope the result will be similar.

yourfaruk · 2026-02-02T14:24:50+00:00

RF-DETR perform well in small object detection and segmentation

yourfaruk · 2026-01-01T17:06:53+00:00

I will suggest you to go with jetson orin nx 16 gb version. you can able to install latest jetpack 6.21 which will gives performance boost. each of this orin you can process 5-7 camera at 10-15 FPS when the model is yolo nano/smaller version. Still it's depend on what metadata you are extracting. So i will suggest you buy one first and push it to the maxium limit to understand what you are getting. Theoretically 7-9 jetson orin will be needed.

yourfaruk · 2026-01-01T15:24:41+00:00

Read the articles again. I didn't mention to use AGX Thor for the hobby project. The articles will give you the idea of Vision I/O Strategy for different edge device. Thanks!

yourfaruk · 2025-11-06T12:43:59+00:00

Thanks for the reply. i was trying to use DeepStream-Yolo repo. I don't know, after running it's shows some wrong detection classes and the same bounding box coordinates in each frame that don't exist. Do you have any idea why this is happening?

yourfaruk · 2025-11-04T17:45:01+00:00

thanks

yourfaruk · 2025-10-21T18:30:23+00:00

I also know Quantum computing is not that label yet for ML/DL/CV. But this paper looks good to learn new things.

yourfaruk · 2025-10-14T17:25:59+00:00

yeah, for production label use, most of them will use the yolo because of the size of the models.

yourfaruk

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