InvoiceOCR Dataset

v7

2024-07-29 8:20am

Generated on Jul 29, 2024

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Dataset Split

Train Set 100%
612Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 19% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±8° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -24° and +24°
Saturation: Between -25% and +25%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise