Value Reader Computer Vision Dataset
88 Total Images
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Dataset Split
Train Set 92%
81Images
Valid Set 6%
5Images
Test Set 2%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -140° and +140°
Saturation: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 2.01% of pixels