Dataset Versions

v3

2024-09-21 6:05am

Generated on Sep 21, 2024

Dataset Split

Train Set 88%
648Images
Valid Set 8%
56Images
Test Set 4%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Bounding Box: Flip: Vertical

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