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.

Archivo de configuraciónconfig.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"

Datos de ejemplosample-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

Obtener este diseño

View on GitHub

Clone or download from the repository

Inicio rápido:

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

Detalles

Tipos de anotación

multiselectradiotext

Dominio

Computer VisionIndustrial Inspection

Casos de uso

Anomaly DetectionDefect DetectionQuality Control

Etiquetas

mvtecanomaly-detectiondefectindustrialquality-controlcvpr2019

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