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Showcase/MVTec AD Industrial Defect Detection
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MVTec AD Industrial Defect Detection

Anomaly detection and localization in industrial images (Bergmann et al., CVPR 2019). Detect defects across 15 object and texture categories including metal nuts, transistors, and leather.

Labels:outdoornatureurbanpeopleanimal+−

Configuration Fileconfig.yaml

# MVTec AD Industrial Defect Detection Configuration
# Based on Bergmann et al., CVPR 2019

annotation_task_name: "MVTec AD Defect Detection"
task_dir: "."

data_files:
  - "sample-data.json"

item_properties:
  id_key: "id"
  text_key: "image_url"
  context_key: "product_type"

user_config:
  allow_all_users: true

annotation_schemes:
  - annotation_type: "radio"
    name: "product_category"
    description: "Select the product category"
    labels:
      - name: "bottle"
        tooltip: "Glass or plastic bottles"
      - name: "cable"
        tooltip: "Electrical cables"
      - name: "capsule"
        tooltip: "Capsules, pills"
      - name: "carpet"
        tooltip: "Carpet texture"
      - name: "grid"
        tooltip: "Grid patterns"
      - name: "hazelnut"
        tooltip: "Hazelnuts"
      - name: "leather"
        tooltip: "Leather texture"
      - name: "metal_nut"
        tooltip: "Metal nuts"
      - name: "pill"
        tooltip: "Pills"
      - name: "screw"
        tooltip: "Screws"
      - name: "tile"
        tooltip: "Tiles"
      - name: "toothbrush"
        tooltip: "Toothbrushes"
      - name: "transistor"
        tooltip: "Transistors"
      - name: "wood"
        tooltip: "Wood texture"
      - name: "zipper"
        tooltip: "Zippers"

  - annotation_type: "radio"
    name: "anomaly_status"
    description: "Is this image normal or defective?"
    labels:
      - name: "good"
        tooltip: "No defects, normal sample"
      - name: "defective"
        tooltip: "Contains defects or anomalies"

  - annotation_type: "multiselect"
    name: "defect_types"
    description: "Select defect types (if defective)"
    labels:
      - name: "scratch"
        tooltip: "Surface scratches"
      - name: "dent"
        tooltip: "Dents or deformations"
      - name: "hole"
        tooltip: "Holes or punctures"
      - name: "crack"
        tooltip: "Cracks or fractures"
      - name: "contamination"
        tooltip: "Contamination or stains"
      - name: "color_defect"
        tooltip: "Color abnormalities"
      - name: "missing_part"
        tooltip: "Missing components"
      - name: "misalignment"
        tooltip: "Misaligned parts"

  - annotation_type: "text"
    name: "defect_location"
    description: "Describe the location of defects (e.g., 'top-left corner')"

interface_config:
  item_display_format: "<img src='{{text}}' style='max-width:100%; max-height:500px;'/><br/><small>Product type: {{context}}</small>"

output_annotation_format: "json"
output_annotation_dir: "annotations"

Sample Datasample-data.json

[
  {
    "id": "mvtec_001",
    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/8/8a/Banana-Single.jpg/1200px-Banana-Single.jpg",
    "product_type": "Example industrial product. Inspect for defects such as scratches, dents, holes, or contamination."
  },
  {
    "id": "mvtec_002",
    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/b/b1/VW_Lupo.jpg/1200px-VW_Lupo.jpg",
    "product_type": "Industrial component. Mark whether this is a normal (good) sample or contains defects."
  }
]

// ... and 1 more items

Get This Design

View on GitHub

Clone or download from the repository

Quick start:

git clone https://github.com/davidjurgens/potato-showcase.git
cd potato-showcase/image/specialized/mvtec-ad
potato start config.yaml

Details

Annotation Types

multiselectradiotext

Domain

Computer VisionIndustrial Inspection

Use Cases

Anomaly DetectionDefect DetectionQuality Control

Tags

mvtecanomaly-detectiondefectindustrialquality-controlcvpr2019

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