Dataset Versions

v8

2023-07-04 7:05pm

Generated on Jul 4, 2023

Dataset Split

Train Set 89%
558Images
Valid Set 8%
48Images
Test Set 3%
18Images

Preprocessing

Resize: Stretch to 224x224
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 62% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±11° Vertical
Brightness: Between -36% and +36%
Exposure: Between -21% and +21%
Blur: Up to 2px

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