Dataset Versions

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2023-12-06 8:36pm
v8
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a year ago
2023-12-03 3:42pm
v7
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a year ago
2023-11-25 8:31pm
v6
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a year ago
2023-11-25 3:57pm
v5
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a year ago
2023-11-25 3:22pm
v4
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a year ago
2023-11-25 2:48pm
v3
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a year ago
2023-11-25 2:40pm
v2
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a year ago
2023-11-24 11:37pm
v1
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a year ago
v6

2023-11-25 8:31pm

Generated on Nov 25, 2023
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492 Total Images

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Dataset Split

Train Set 88%
432Images
Valid Set 7%
32Images
Test Set 6%
28Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -26% and +26%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%

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