Dataset Versions
v1
2024-08-21 4:48am
Generated on Aug 21, 2024
26566 Total Images
View All Images
Dataset Split
Train Set 89%
23659Images
Valid Set 6%
1656Images
Test Set 5%
1251Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 4 rows x 4 columns
Filter Null: Require at least 86% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%