Dataset Versions

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2023-10-15 2:06pm
v7
·
a year ago
2023-09-22 1:28pm
v6
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a year ago
2023-09-14 1:36pm
v5
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a year ago
2023-08-28 5:19pm
v4
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a year ago
2023-08-28 12:42pm
v3
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a year ago
2023-08-25 12:35pm
v2
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a year ago
2023-08-24 4:16pm
v1
·
a year ago
v6

2023-09-22 1:28pm

Generated on Sep 22, 2023
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Dataset Split

Train Set 87%
429Images
Valid Set 9%
42Images
Test Set 4%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 3% of pixels

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