I generated a "stress test" of 200 rare defects from 7 real photos

Show HN: I generated a "stress test" of 200 rare defects from 7 real photos

I generated a "stress test" of 200 rare defects from 7 real photos is a business in show hn launch.

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Hello HN,I work on vision systems for structural inspection. A common pain point is usually that while we have a lot of "healthy" images, we often lack a reliable "Golden Set" of rare failures (like shattered porcelain) to validate our models before deployment.You can't trust your model's recall if your test set only has 5 examples of the failure mode for example.So to fix this, I built a pipeline to generate datasets. In this example, I took 7 real-world defect samples, extracted their topology/texture, and procedurally generated 200 hard-to-detect variations across different lighting and backgrounds.I’m releasing this batch of broken insulators (CC0) specifically to help teams benchmark th

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Website: www.silera.ai/blog/free-200-broken-insulators-datase...-