Dataset Versions

Versions
2024-11-22 3:35pm
v10
·
11 days ago
2024-11-22 12:56am
v9
·
12 days ago
2024-11-20 2:15pm
v8
·
13 days ago
2024-11-20 2:13pm
v7
·
13 days ago
2024-11-20 2:10pm
v6
·
13 days ago
2024-11-20 2:07pm
v5
·
13 days ago
2024-11-19 12:00pm
v4
·
14 days ago
2024-11-19 11:57am
v3
·
14 days ago
2024-11-19 11:54am
v2
·
14 days ago
2024-11-19 11:52am
v1
·
14 days ago
v4

2024-11-19 12:00pm

Generated on Nov 19, 2024
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2098 Total Images

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Dataset Split

Train Set 87%
1833Images
Valid Set 6%
132Images
Test Set 6%
133Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 2048x2048

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
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 0.1% of pixels

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