Dataset Versions
v8
2023-06-25 7:16pm
Generated on Jun 25, 2023
1726 Total Images
View All Images
Dataset Split
Train Set 87%
1503Images
Valid Set 8%
141Images
Test Set 5%
82Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.
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: ±15° Horizontal, ±15° Vertical
Brightness: Between -50% and +50%
Exposure: Between -25% and +25%
Cutout: 5 boxes with 10% size each