Dataset Versions

v5

TRY ES

Generated on Jan 2, 2024

Dataset Split

Train Set 88%
357Images
Valid Set 8%
33Images
Test Set 4%
17Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -19° and +19°
Brightness: Between -15% and +15%
Blur: Up to 1.7px
Noise: Up to 1.76% of pixels
Cutout: 4 boxes with 14% size each

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