Dataset Versions

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2023-07-31 7:24pm
v13
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a year ago
2023-07-31 5:28pm
v12
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a year ago
2023-07-31 5:22pm
v11
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a year ago
2023-07-31 5:18pm
v10
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a year ago
2023-07-31 5:17pm
v9
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a year ago
2023-07-31 5:16pm
v8
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a year ago
2023-07-31 5:15pm
v7
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a year ago
2023-07-31 5:13pm
v6
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a year ago
2023-07-31 5:09pm
v5
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a year ago
2023-07-31 5:06pm
v4
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a year ago
2023-07-31 5:03pm
v3
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a year ago
2023-07-31 4:55pm
v2
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a year ago
2023-07-31 4:54pm
v1
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a year ago
v8

2023-07-31 5:16pm

Generated on Jul 31, 2023
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Dataset Split

Train Set 89%
288Images
Valid Set 7%
24Images
Test Set 4%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 64x64

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 5% of pixels

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