Dataset Versions
v2
2023-09-22 3:27pm
Generated on Sep 22, 2023
184 Total Images
View All Images
Dataset Split
Train Set 88%
162Images
Valid Set 8%
14Images
Test Set 4%
8Images
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 -41° and +41°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 45% of images
Hue: Between -38° and +38°
Saturation: Between -60% and +60%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each