Defect Spectrum Dataset Welcome to the Defect Spectrum dataset repository. This comprehensive benchmark is a granular collection of large scale defect datasets with rich semantics, designed to push the frontier of industrial defect inspection research and applications. Paper: https://huggingface.co/papers/2310.17316 Github repository: https://github.com/EnVision Research/Defect Spectrum Overview Defect inspection is a critical component within the closed loop manufacturing system. To facilitate advanced research and development in this domain, we introduce the Defect Spectrum dataset. It offers precise, semantics abundant, and large scale annotations for a wide range of industrial defects. This dataset is an enhancement over existing benchmarks, providing refined annotations and introducing detailed semantic layers, allowing for the distinction between multiple defect types within a single image. Features Semantics Abundant Annotations : Each defect is meticulously labeled, not just at the pixel level but with rich contextual information, providing insights into the defect type and implications. High Precision : Annotations are refined by experts to capture even the subtlest of def…
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