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2023-08-03 1:10pm
v15
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a year ago
2023-06-23 3:12pm
v14
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2023-06-15 10:44am
v13
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2023-06-15 10:44am
v12
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2023-06-15 10:44am
v11
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2023-06-15 10:44am
v10
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a year ago
2023-06-15 10:44am
v9
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a year ago
2023-06-15 10:44am
v8
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a year ago
2023-06-15 10:39am
v7
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a year ago
2023-06-14 2:58pm
v6
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2023-06-13 1:30pm
v5
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a year ago
2023-06-09 2:44pm
v4
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a year ago
2023-06-06 9:54pm
v3
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a year ago
2023-06-06 9:05pm
v2
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a year ago
2023-06-05 12:30pm
v1
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a year ago
v1

2023-06-05 12:30pm

Generated on Jun 5, 2023
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1888 Total Images

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Dataset Split

Train Set 87%
1650Images
Valid Set 8%
156Images
Test Set 4%
82Images

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, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 82% of images
Hue: Between -180° and +180°
Saturation: Between -59% and +59%
Brightness: Between -50% and +50%
Exposure: Between -25% and +25%
Blur: Up to 4.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied

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