Dataset Versions

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Versions
2023-09-11 10:55pm
v5
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a year ago
2023-09-11 10:43pm
v4
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a year ago
2023-09-07 12:39pm
v3
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a year ago
2023-08-23 3:40pm
v2
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a year ago
2023-08-23 2:36pm
v1
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a year ago
v3

2023-09-07 12:39pm

Generated on Sep 7, 2023
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196 Total Images

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Dataset Split

Train Set 87%
171Images
Valid Set 9%
17Images
Test Set 4%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Exposure: Between -25% and +25%

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