Dataset Versions

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2024-03-14 3:19pm
v7
·
10 months ago
2024-03-12 6:20pm
v6
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10 months ago
2024-01-23 12:15pm
v5
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a year ago
2023-10-24 3:27pm
v4
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a year ago
2023-10-24 3:12pm
v3
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a year ago
2023-10-23 11:50am
v2
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a year ago
2023-10-23 11:22am
v1
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a year ago
v4

2023-10-24 3:27pm

Generated on Oct 24, 2023
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Dataset Split

Train Set 90%
309Images
Valid Set 6%
22Images
Test Set 3%
12Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 5% of pixels
Mosaic: Applied

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