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An issue has been identified in the Deepskin model where it incorrectly includes a coin as part of the wound. As shown in the attached screenshot, the Deepskin model (outlined in green) has mistakenly incorporated a coin (circled in red) into its segmentation of the wound. This error highlights a potential flaw in the model's ability to accurately distinguish between the wound and external objects, which could have significant implications for its performance in real-world applications.
The text was updated successfully, but these errors were encountered:
Dear @Skymero, thanks for your comments.
I totally agree with you that segmenting a red coin as a wound is a pitfall of the model.
However, we have already tested the model with different "coin markers" (in terms of color!) and the model works perfectly.
I imagine that the presence of a red coin near a human wound might be at least unusual for a real-world application...
If you are interested in placing circular markers near a wound as a landmark for further analysis, I strongly recommend using a reference with different colors: a good choice could be a green marker; we are currently using this kind of marker and hope to release a new version of the model that also supports marker segmentation in a few weeks.
I'd really love to help out with marker segmentation, is there any way I could help with that? I've already figure out how to measure the size of an object given a reference object. Currently it's not accurate since I just photoshopped a coin into an image I found and the FOV is assuming it was taken from a Galaxy s21 camera. So with more accurate data there I can adjust it.
Please let me know if I can help.
Here are other examples I ran into where it segmented parts of a ruler and the eyes on a face:
An issue has been identified in the Deepskin model where it incorrectly includes a coin as part of the wound. As shown in the attached screenshot, the Deepskin model (outlined in green) has mistakenly incorporated a coin (circled in red) into its segmentation of the wound. This error highlights a potential flaw in the model's ability to accurately distinguish between the wound and external objects, which could have significant implications for its performance in real-world applications.
The text was updated successfully, but these errors were encountered: