Dataset Versions

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Versions
2023-06-08 4:22pm
v8
·
2 years ago
best_v1
v7
·
2 years ago
Best_data
v5
·
2 years ago
2023-03-31 6:26pm
v4
·
2 years ago
2023-03-21 11:38am
v3
·
2 years ago
2023-02-24 10:31am
v2
·
2 years ago
2023-02-23 2:32pm
v1
·
2 years ago
v2

2023-02-24 10:31am

Generated on Feb 24, 2023
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Dataset Split

Train Set 92%
48Images
Valid Set 4%
2Images
Test Set 4%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images

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