Dataset Versions

Versions
2024-03-12 10:11pm
v16
·
8 months ago
2023-07-09 4:49pm
v15
·
a year ago
2023-05-21 8:46pm
v14
·
a year ago
2023-05-21 8:30pm
v11
·
a year ago
2023-05-18 8:24pm
v10
·
a year ago
2023-05-18 7:35pm
v9
·
a year ago
2023-05-18 7:33pm
v8
·
a year ago
2023-05-18 2:23pm
v7
·
a year ago
2023-05-17 8:09pm
v6
·
a year ago
2023-05-17 8:06pm
v5
·
a year ago
2023-05-17 8:04pm
v4
·
a year ago
2023-05-17 7:19pm
v3
·
a year ago
v5

2023-05-17 8:06pm

Generated on May 17, 2023
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1144 Total Images

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Dataset Split

Train Set 87%
996Images
Valid Set 8%
94Images
Test Set 5%
54Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 3% of pixels
Cutout: 10 boxes with 5% size each

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