Dataset Versions

v10

2023-12-04 9:41am

Generated on Dec 4, 2023

Dataset Split

Train Set 100%
30Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 7% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 8% of images
Hue: Between -6° and +6°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Exposure: Between -4% and +4%
Blur: Up to 0.5px
Noise: Up to 1% of pixels