AgriDIGI Dataset

v1

2023-04-21 3:13pm

Generated on Apr 21, 2023

Dataset Split

Train Set 94%
238Images
Valid Set 4%
10Images
Test Set 2%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 7
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels

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