Dataset Versions
v1
2022-05-23 7:37pm
Generated on May 23, 2022
24 Total Images
View All Images
Dataset Split
Train Set 88%
21Images
Valid Set 8%
2Images
Test Set 4%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
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 -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%