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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.

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 defects, ensuring high precision.
  • Large-Scale Data: Building on four key industrial benchmarks, Defect Spectrum stands out with its extensive coverage and depth.
  • Incorporates Descriptive Captions: To bridge the gap towards Vision Language Models (VLMs), each sample is accompanied by a descriptive caption.

Directory Structure

DefectSpectrum/
β”œβ”€β”€ DS-MVTec/
β”‚   β”œβ”€β”€ bottle/
β”‚   β”‚   β”œβ”€β”€ image/         # Original images of the bottle category
β”‚   β”‚   β”œβ”€β”€ caption/       # Descriptive captions of the bottle category
β”‚   β”‚   β”œβ”€β”€ mask/          # Single channel defect masks for the bottle category
β”‚   β”‚   └── rgb_mask/      # Colored defect masks for better visualization
β”‚   β”œβ”€β”€ cable/
β”‚   β”‚   β”œβ”€β”€ image/         # Original images of the cable category
β”‚   β”‚   β”œβ”€β”€ caption/       # Descriptive captions of the cable category
β”‚   β”‚   β”œβ”€β”€ mask/          # Single channel defect masks for the cable category
β”‚   β”‚   └── rgb_mask/      # Colored defect masks for better visualization
β”‚   └── ...
β”œβ”€β”€ DS-VISION/
β”‚   └── ...
β”œβ”€β”€ DS-DAGM/
β”‚   └── ...
β”œβ”€β”€ DS-Cotton-Fabric/
β”‚   └── ...

To-Do List

  • Task 1: Release DS-MVTec image-mask pairs.
  • Task 2: Release DS-VISION, DS-DAGM, and DS-Cotton-Fabric image-mask pairs.
  • Task 3: Release captions.
  • Task 4: Release selected synthetic data.

license: mit

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