Dataset Versions
v2
2023-05-10 3:17pm
Generated on May 10, 2023
425 Total Images
View All Images
Dataset Split
Train Set 88%
372Images
Valid Set 8%
35Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 30% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%