Dataset Versions
v4
2024-01-24 6:30pm
Generated on Jan 24, 2024
780 Total Images
View All Images
Dataset Split
Train Set 80%
621Images
Valid Set 11%
82Images
Test Set 10%
77Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±8° Horizontal, ±8° Vertical
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1.2px
Noise: Up to 2% of pixels