SICECs

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sicec-define

Classification

sicec-define Image Dataset

Try Pre-Trained Model
Versions
2023-04-06 6:45pm
v3
Apr 6, 2023
2023-04-06 6:37pm
v2
Apr 6, 2023
2023-04-06 4:56pm
v1
Apr 6, 2023
v3

2023-04-06 6:45pm

Generated on Apr 6, 2023
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8374 Total Images

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Dataset Split

Train Set 87%
7304Images
Valid Set 6%
463Images
Test Set 7%
607Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -40° and +40°
Saturation: Between -35% and +35%
Brightness: Between -35% and +35%