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Image Recognition Accuracy

CoolR consistently achieves an image recognition accuracy rate of over 96%, and typically 98% or above when at least 4+ good quality images of each product are available.

Image Recognition Accuracy Methodology​

Our accuracy rates are calculated using a rigorous testing process conducted every two weeks. We randomly select 1,000 images from different customers and industries, containing approximately 40,000 total product facings. Each result undergoes manual verification to ensure precision.

Accuracy Calculation​

We use a strict scoring system where only correctly identified products count toward accuracy. For example, if we detect 10 products in an image:

  • 8 correctly identified = +8 points
  • 1 incorrectly identified (false positive) = -1 point
  • 1 missed product = -1 point

Result: 80% accuracy (8/10)

A 96% accuracy rate represents 38,400 correctly identified products out of 40,000 total, with both missed detections and misclassifications penalized equally.

Sampling and image quality​

Images with poor lighting, washout, or other quality issues are excluded from the accuracy test. Reported accuracy therefore describes the tested images, rather than every captured image. Sampling spans customers and industries, and manual verification is repeated every two weeks.