Dataset Versions

v1

2024-09-29 2:28pm

Generated on Sep 29, 2024

Dataset Split

Train Set 92%
1026Images
Valid Set 8%
85Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±6° Horizontal, ±12° Vertical
Grayscale: Apply to 17% of images
Hue: Between -23° and +23°
Saturation: Between -30% and +30%
Brightness: Between -21% and +21%
Exposure: Between -11% and +11%
Blur: Up to 0.6px
Noise: Up to 0.73% of pixels

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