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Why DETRs are replacing YOLOs for real-time object detection (datameister.ai)
25 points by axelvlaminck 75 days ago | hide | past | favorite | 13 comments


> All DETR architectures are released under the permissive Apache 2.0 License, making them easy to adopt and modify in commercial settings.

This is why we moved. When we came to productionisation ultralytics wanted $$$


YOLO IS NOT ULTRALYTICS


I know that, I’ve used it since darknet - but for all intents it was since the platform we were using had the ultralytics version. They claim that even using their model architecture requires a license.


> The YOLO series is developed and maintained by Ultralytics. All YOLO code and weights are released under the AGPL-3.0 license.The YOLO series is developed and maintained by Ultralytics. All YOLO code and weights are released under the AGPL-3.0 license.

The original author of YOLO and the Darknet framework [1] issued the code under pretty much every license you wish to use [2]. My preferred fork by AlexeyAB is under an equally permissive license [3].

Ultralytics then created their own model under the AGPL-3.0 license [4], which probably would never stand up in a court as they have the model from the likes of YOLOv3 in their source [5].

This entire article is flawed anyway, because they don't state which YOLOv11 model they are using or compare the accuracy. They appear to have just taken the pre-trained models and assumed it's apples-to-apples. They could have at least compared YOLO11n/s/m/l/x,

[1] https://pjreddie.com/darknet/yolo/

[2] https://github.com/pjreddie/darknet

[3] https://github.com/AlexeyAB/darknet

[4] https://github.com/ultralytics/ultralytics

[5] https://github.com/ultralytics/ultralytics/tree/main/ultraly...


They can't solve the ambiguity about YOLO because the article exists only because of that inaccuracy.


> The YOLO series is developed and maintained by Ultralytics.

This is totally fake. There are a lot of different YOLO versions, each with a different licence.

This article is a total scam, it should be removed.

Read the first comment. https://www.reddit.com/r/computervision/comments/1gxce90/yol...


Unless I’m missing something, the Reddit discussion seems to indicate that the only maintained versions are the ones maintained by Ultralytics. Are there other maintained versions out there?

Even if this is not the case, that doesn’t mean the article is a ”total scam”.


Yes it is a scam because it says that YOLO is ultralytics. That's the wrong point. There are hundreds of different YOLO implementations. Just search for some bookmarks or look in huggingface. Paperswithcode is dead now, hugging face built something similar.


> Yes it is a scam because it says that YOLO is ultralytics.

How does that make it a scam? You know that “scam” doesn’t mean “incorrect”, right?

> There are hundreds of different YOLO implementations. Just search for some bookmarks or look in huggingface. Paperswithcode is dead now, hugging face built something similar.

Can you be more specific? The Reddit discussion you linked to described everything else as being pretty dead. What is being actively developed?


Who are you.

I'm not your tutor.


Agreed, this article is pure misrepresentation. However, are DETRs performing better than YOLO? That's the salient question, for me.


A small percent difference means nothing at all.

Your camera will be very different from the images the models have been trained on, so you'll have to do fine tuning. So the only thing that matters is this phase.

Plus, there are models that run device, on servers etc.


DETR model have outperformed YOLO models for a while, but they have been much slower making them impractical for real time detection.




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