Dataset Versions

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2023-04-10 3:08pm
v7
·
2 years ago
2023-04-10 2:59pm
v6
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2 years ago
2023-02-28 3:53pm
v5
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2 years ago
2023-02-28 2:24pm
v4
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2 years ago
2023-02-27 3:23pm
v3
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2 years ago
2023-02-27 3:12pm
v2
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2 years ago
2023-02-27 3:10pm
v1
·
2 years ago
v7

2023-04-10 3:08pm

Generated on Apr 10, 2023
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108 Total Images

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Dataset Split

Train Set 81%
87Images
Valid Set 7%
8Images
Test Set 12%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Shear: ±30° Horizontal, ±30° Vertical
Hue: Between -90° and +90°
Saturation: Between -50% and +50%
Brightness: Between -50% and +50%

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