Dataset Versions
Versions
v1
2023-05-18 8:08pm
Generated on May 18, 2023
2443 Total Images
View All Images
Dataset Split
Train Set 87%
2136Images
Valid Set 8%
205Images
Test Set 4%
102Images
Preprocessing
Auto-Orient: Applied
Static Crop: 20-80% Horizontal Region, 20-80% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 46% of images
Blur: Up to 2px
Noise: Up to 8% of pixels
Cutout: 10 boxes with 2% size each