Why DETRs are replacing YOLOs for real-time object detection
21 points
3 hours ago
| 2 comments
| blog.datameister.ai
| HN
thebruce87m
48 minutes ago
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> 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 $$$

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_giorgio_
24 minutes ago
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YOLO IS NOT ULTRALYTICS
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_giorgio_
25 minutes ago
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> 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...

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JimDabell
17 minutes ago
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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”.

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_giorgio_
4 minutes ago
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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.
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stavros
20 minutes ago
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Agreed, this article is pure misrepresentation. However, are DETRs performing better than YOLO? That's the salient question, for me.
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euleriancon
18 minutes ago
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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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_giorgio_
14 minutes ago
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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.

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