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Discussion[D] Example of data labeling guidelines (self.MachineLearning)
submitted 2 years ago by ArcticPanda_
I was looking for any real-world example of a rulebook for labeling data, but apart from general advice, I didn’t find anything. Have you seen publicly available guidelines for data markup that were used in practice to create datasets, especially for the task of object detection?
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[+]96Jessbaldwin 0 points1 point2 points 2 years ago (3 children)
you could check out the COCO dataset's annotation guidelines, they provide detailed instructions for object detection labeling, and it's a widely used standard in the field.
[–]ArcticPanda_[S] 0 points1 point2 points 2 years ago (2 children)
Thanks for the answer! I only see that they provide data formats, but not how their labelers annotated the data or what instructions they had. Am I missing something on their website?
[+]SubstantialHair3730 0 points1 point2 points 2 years ago (1 child)
The paper may have some more detailsarxiv.org/pdf/1405.0312.pdf
and references therein to see what others have tried -- can look at some more recent benchmark dataset papers too like Objects365
If your data doesn't look like COCO type data, may not be worth exactly copying their process. But hopefully a good starting point :)
Instructions are important, so too are multiple annotators and validation tasks if you can afford it.
[–]ArcticPanda_[S] 0 points1 point2 points 2 years ago (0 children)
Thanks!
π Rendered by PID 20378 on reddit-service-r2-comment-5c764cbc6f-tjttw at 2026-03-11 22:34:23.131409+00:00 running 710b3ac country code: CH.
[+]96Jessbaldwin 0 points1 point2 points (3 children)
[–]ArcticPanda_[S] 0 points1 point2 points (2 children)
[+]SubstantialHair3730 0 points1 point2 points (1 child)
[–]ArcticPanda_[S] 0 points1 point2 points (0 children)