Datasets:
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
industry
License:
File size: 2,895 Bytes
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---
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/
├── 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
- [ ] 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
--- |