Dataset Versions

v3

2023-12-26 11:13am

Generated on Dec 26, 2023

Dataset Split

Train Set 88%
1077Images
Valid Set 8%
100Images
Test Set 4%
51Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 19% of images
Hue: Between -23° and +23°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Noise: Up to 6% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°

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