Dataset Versions

v1

pomegrana

Generated on Nov 29, 2024

Dataset Split

Train Set 87%
1335Images
Valid Set 8%
128Images
Test Set 4%
63Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%
Blur: Up to 2.5px
Noise: Up to 0.5% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Noise: Up to 0.1% of pixels

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