Dataset Versions

v1

2023-08-03 1:03pm

Generated on Aug 3, 2023

Dataset Split

Train Set 91%
96Images
Valid Set 8%
8Images
Test Set 1%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 71% of images
Hue: Between -78° and +78°
Saturation: Between -35% and +35%
Brightness: Between -25% and +25%
Exposure: Between -7% and +7%
Blur: Up to 0.5px
Noise: Up to 1% of pixels

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