Dataset Versions

v1

2024-03-12 3:02am

Generated on Mar 12, 2024

Dataset Split

Train Set 85%
888Images
Valid Set 9%
96Images
Test Set 6%
60Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels
Bounding Box: Flip: Horizontal

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