Dataset Versions
v4
2024-05-02 1:53pm
Generated on May 2, 2024
101 Total Images
View All Images
Dataset Split
Train Set 92%
93Images
Valid Set 4%
4Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.81% of pixels