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...
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.
Even if this is not the case, that doesn’t mean the article is a ”total scam”.
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?
I'm not your tutor.
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...
thebruce87m•2mo ago
This is why we moved. When we came to productionisation ultralytics wanted $$$
_giorgio_•2mo ago
thebruce87m•2mo ago