Dataset Versions

v3

2024-08-23 3:05pm

Generated on Aug 23, 2024

Dataset Split

Train Set 92%
1920Images
Valid Set 5%
110Images
Test Set 3%
55Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1024x1024
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 5
Rotation: Between -7° and +7°
Saturation: Between -8% and +8%
Brightness: Between -7% and +7%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom

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