Dataset Versions

v2

2024-08-27 1:36pm

Generated on Aug 27, 2024

Dataset Split

Train Set 100%
30303Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 22-75% Horizontal Region, 21-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±12° Horizontal, ±11° Vertical
Grayscale: Apply to 15% of images
Noise: Up to 1.25% of pixels