Dataset Versions
v3
2023-04-19 3:37pm
Generated on Apr 19, 2023
48 Total Images
View All Images
Dataset Split
Train Set 88%
42Images
Valid Set 8%
4Images
Test Set 4%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 71% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±10° Vertical
Grayscale: Apply to 23% of images
Hue: Between -28° and +28°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -18% and +18%
Blur: Up to 2.5px
Noise: Up to 5% of pixels