Dataset Versions

v1

2024-08-20 11:57am

Generated on Aug 20, 2024

Dataset Split

Train Set 87%
18624Images
Valid Set 8%
1776Images
Test Set 4%
888Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels

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