Dataset Versions

v1

2024-05-02 12:35pm

Generated on May 2, 2024

Dataset Split

Train Set 87%
1068Images
Valid Set 8%
102Images
Test Set 4%
51Images

Preprocessing

Auto-Orient: Applied
Static Crop: 27-71% Horizontal Region, 22-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -14% and +14%

Similar Projects

See More