Datasets:
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
industry
License:
| 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 | |
| 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/ | |
| βββ DS-MVTec/ | |
| β βββ bottle/ | |
| β β βββ image/ # Original images of the bottle category | |
| β β βββ caption/ # Descriptive captions of the bottle category | |
| β β βββ mask/ # Single channel defect masks for the bottle category | |
| β β βββ rgb_mask/ # Colored defect masks for better visualization | |
| β βββ cable/ | |
| β β βββ image/ # Original images of the cable category | |
| β β βββ caption/ # Descriptive captions of the cable category | |
| β β βββ mask/ # Single channel defect masks for the cable category | |
| β β βββ rgb_mask/ # Colored defect masks for better visualization | |
| β βββ ... | |
| βββ DS-VISION/ | |
| β βββ ... | |
| βββ DS-DAGM/ | |
| β βββ ... | |
| βββ DS-Cotton-Fabric/ | |
| β βββ ... | |
| ``` | |
| ## 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 | |
| --- |