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The scratch labels look less certain than the images suggest

LinCarter0966 · 2026年5月4日 20:55 UTC

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LI
LinCarter0966
Our planned presenting reflective components for surface inspection in a small finished-parts production cell has Universal Robots UR5e presenting a reflective aluminium bezel to a fixed camera. The example images contain bright streaks that shift with small presentation differences, yet those streaks are being labelled as scratches. Before commissioning, I'd like to establish reliable references and image conditions for threshold tuning.

16 条回复

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AmaraArcher0426

Were those scratches confirmed on the physical samples using your agreed appearance method? Start by linking each image to a sample and its inspection result.

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LinCarter0966

Some labels came from the pictures alone. We still have the samples, but those labels aren't tied to physical inspection results. That's irritatingly circular.

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AmaraArcher0426

Keep the image-only labels uncertain pending physical inspection. A controlled comparison of lighting and presentation can then investigate whether the moving streaks indicate reflection effects.

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SamBennett0768

@AmaraArcher0426 A scratch's visibility can change with presentation too. Don't let 'moving streak' quietly become the rule for relabelling something acceptable.

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AmaraArcher0426

Correct. I meant a reason to investigate the imaging, not a new defect label. Physical acceptance stays with the agreed inspection method.

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SarahBell0676

@AmaraArcher0426 So uncertain isn't the same as good? Where do those images go?

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AmaraArcher0426

Keep them explicitly undecided, with the sample link. Don't use them as confirmed examples of either class until the physical review settles them.

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LinCarter0966

Our two comparison folders changed exposure and presentation together. I can't tell which change made the images look better. That comparison needs a caveat too.

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NathanBarnes0547

I had a separate inspection setup where the 'better lighting' folder used easier samples too. Its name implied a lighting conclusion that the comparison didn't support.

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LinCarter0966

Which details did you retain with each image? I can record sample identity and settings, but I'd like a practical record people will actually maintain.

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NathanBarnes0547

For my separate setup, sample identity, exposure, lighting arrangement and presentation condition were the useful essentials. They let us understand comparisons without relying on recollection.

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AmaraArcher0426

@NathanBarnes0547 Those records can support the vision specialist's comparison of image conditions. Holding the representative sample set constant will make an acquisition change easier to assess.

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SarahBell0676

@AmaraArcher0426 Would a learned model just cope with the lighting differences?

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AmaraArcher0426

It still needs trustworthy labels and representative evaluation. A different model doesn't establish whether your reference scratches are real or your acquisition comparison is fair.

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LinCarter0966

I've settled the review method: physical reference checks plus controlled image comparisons. That answers where to start; whether our inspection concept is suitable still depends on the resulting evaluation.

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AmaraArcher0426

That gives the evaluation a sound question to answer. Suitability remains dependent on those checks, as you've made clear.

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