Dataset Versions

v1

2024-01-23 7:36pm

Generated on Jan 24, 2024

Dataset Split

Train Set 88%
234Images
Valid Set 8%
22Images
Test Set 4%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±7° Vertical
Grayscale: Apply to 19% of images
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -18% and +18%
Exposure: Between -14% and +14%
Blur: Up to 4.1px
Noise: Up to 1.64% of pixels

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