Dataset Versions
v1
2024-09-19 12:26pm
Generated on Sep 19, 2024
2917 Total Images
View All Images
Dataset Split
Train Set 96%
2814Images
Valid Set 4%
103Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%