Dataset Versions

v8

2024-11-27 6:14pm

Generated on Nov 27, 2024

Dataset Split

Train Set 87%
552Images
Valid Set 9%
56Images
Test Set 4%
28Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1.64% of pixels

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