Dataset Versions
Versions
v1
2023-09-14 4:12pm
Generated on Sep 14, 2023
107 Total Images
View All Images
Dataset Split
Train Set 87%
93Images
Valid Set 8%
9Images
Test Set 5%
5Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±18° Horizontal, ±11° Vertical
Grayscale: Apply to 50% of images
Hue: Between -90° and +90°
Saturation: Between -75% and +75%
Brightness: Between -50% and +50%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 10% of pixels
Cutout: 25 boxes with 5% size each
Mosaic: Applied