Dataset Versions

v30

2024-11-23 6:35pm

Generated on Nov 23, 2024

Dataset Split

Train Set 86%
102Images
Valid Set 8%
9Images
Test Set 7%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 12 dropped

Augmentations

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

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