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train

Classification

train Image Dataset

Versions
2024-01-05 11:24am
v2
Jan 5, 2024
2024-01-05 7:41am
v1
Jan 4, 2024
v2

2024-01-05 11:24am

Generated on Jan 5, 2024
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129 Total Images

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Dataset Split

Train Set 100%
129Images
Valid Set %
0Images
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
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 1.99% of pixels