| --- |
| license: mit |
| task_categories: |
| - image-segmentation |
| - image-to-text |
| language: |
| - en |
| tags: |
| - industry |
| pretty_name: DefectSpectrum |
| size_categories: |
| - 1K<n<10K |
| --- |
| # 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 |
|
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| 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 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 |
| |
| ```plaintext |
| DefectSpectrum/ |
| ├── DS-MVTec/ |
| │ ├── bottle/ |
| │ │ ├── image/ # Original images of the bottle category |
| │ │ ├── caption/ # Descriptive captions of the bottle category |
| │ │ ├── mask/ # Single channel defect masks for the bottle category |
| │ │ └── rgb_mask/ # Colored defect masks for better visualization |
| │ ├── cable/ |
| │ │ ├── image/ # Original images of the cable category |
| │ │ ├── caption/ # Descriptive captions of the cable category |
| │ │ ├── mask/ # Single channel defect masks for the cable category |
| │ │ └── rgb_mask/ # Colored defect masks for better visualization |
| │ └── ... |
| ├── DS-VISION/ |
| │ └── ... |
| ├── DS-DAGM/ |
| │ └── ... |
| ├── DS-Cotton-Fabric/ |
| │ └── ... |
| ``` |
| |
| ## To-Do List |
| - [x] Task 1: Release DS-MVTec image-mask pairs. |
| - [x] Task 2: Release DS-VISION, DS-DAGM, and DS-Cotton-Fabric image-mask pairs. |
| - [x] Task 3: Release captions. |
| - [x] Task 4: Release selected synthetic data. |
| |
| --- |
| license: mit |
| --- |