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2024-06-21 11:15pm
v34
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6 months ago
2024-06-20 9:29am
v33
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6 months ago
2024-06-20 9:29am
v32
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6 months ago
2024-06-20 9:29am
v31
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6 months ago
2024-06-20 9:29am
v30
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6 months ago
2024-06-20 9:29am
v29
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6 months ago
2024-06-20 9:28am
v28
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6 months ago
2024-06-20 9:28am
v27
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6 months ago
2024-06-20 9:28am
v26
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6 months ago
2024-06-20 9:28am
v25
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6 months ago
2024-06-20 9:27am
v24
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6 months ago
2024-06-20 9:27am
v23
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6 months ago
2024-06-20 9:27am
v22
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6 months ago
2024-06-06 8:23pm
v1
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7 months ago
v1

2024-06-06 8:23pm

Generated on Jun 6, 2024
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360 Total Images

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Dataset Split

Train Set 88%
315Images
Valid Set 8%
30Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.37% of pixels

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