Dataset Versions

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Versions
2024-04-20 11:17am
v10
·
8 months ago
2024-04-09 8:25pm
v9
·
9 months ago
2024-04-07 1:40pm
v8
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9 months ago
2024-04-06 6:49pm
v7
·
9 months ago
2024-04-06 5:38pm
v6
·
9 months ago
2024-04-06 5:13pm
v5
·
9 months ago
2024-04-06 5:10pm
v4
·
9 months ago
2023-11-14 4:07pm
v3
·
a year ago
2023-11-14 12:29pm
v2
·
a year ago
v8

2024-04-07 1:40pm

Generated on Apr 7, 2024
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Dataset Split

Train Set 88%
153Images
Valid Set 8%
13Images
Test Set 4%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1920x1080

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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