Dataset Versions

v4

2024-09-30 7:21am

Generated on Sep 30, 2024

Dataset Split

Train Set 87%
24204Images
Valid Set 8%
2336Images
Test Set 4%
1164Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 50-100% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Exposure: Between -10% and +10%

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