Dataset Versions

Versions
2024-12-03 11:44am
v10
·
a month ago
2024-11-28 10:41am
v9
·
a month ago
2024-11-28 10:40am
v8
·
a month ago
2024-11-27 8:42pm
v7
·
a month ago
2024-11-27 8:41pm
v6
·
a month ago
2024-11-21 1:30pm
v5
·
2 months ago
2024-11-13 5:05pm
v4
·
2 months ago
2024-11-13 3:30pm
v3
·
2 months ago
2024-09-30 8:29am
v2
·
3 months ago
2024-09-30 8:26am
v1
·
3 months ago
v10

2024-12-03 11:44am

Generated on Dec 3, 2024
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2084 Total Images

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Dataset Split

Train Set 88%
1824Images
Valid Set 9%
180Images
Test Set 4%
80Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 8-92% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 1% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Noise: Up to 0.1% of pixels

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