OpenJev vs OpenAI Decisions: fewer missed defects, more false alarms
One setup marked four defective items as normal. Another marked seven as normal. The first sounds safer until you see the other half of the result: it also marked 69 of 80 normal items as defective . The second did that to 33. Those decisions came from the same 160 inspection photos. They make a mo…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-17 17:24 · DEV Community — Machine Learning
OpenJev vs OpenAI Decisions: fewer missed defects, more false alarms