Dataset Size Calculator

Visual Defect Inspection Dataset Requirements

Get instant estimates for synthetic dataset size based on your specific visual defect inspection needs. This calculator is designed for manufacturing quality control and pass/fail inspection systems using MVTec HALCON, Cognex Deep Learning, and similar platforms.

Your Project Details

Answer a few questions about your visual defect inspection scenario to get a customized recommendation.

1 type 6+ types
Examples: cracks, scratches, contamination, missing components, surface defects
Consider the most difficult defect to detect
Part-to-part variation in geometry and appearance
Impact of missed defects on safety, compliance, or business
Determines the level of coverage and validation required
1 part 5+ parts
Each part number requires a separate dataset
Existing Real Images

Understanding the Calculations

Our calculator is based on proven formulas from real-world visual defect inspection deployments using MVTec HALCON and Cognex Deep Learning platforms for manufacturing quality control.

Quick Reference Scenarios

  • Simple: 250-400 images total
  • Standard: 500-900 images total
  • Complex: 1,000-1,800 images total
  • Mission-Critical: 1,300-2,600 images total

Why Manufacturing Needs Less Data

  • Controlled environment (camera, lighting)
  • Single part geometry per dataset
  • Clear definition of "good" vs "defect"
  • Transfer learning in Cognex/HALCON
  • Anomaly detection modes available

Real-World Examples

  • Aerospace Blade: 850 images, 98% accuracy
  • Medical Implant: 700 images, 99.2% accuracy
  • EV Battery Cell: 720 images, 97% accuracy
  • All for single part numbers with 2-3 defect types

Contact us for detailed pricing based on your specific requirements