Dataset Versions

v1

2024-05-22 8:48am

Generated on May 22, 2024

Dataset Split

Train Set 88%
180Images
Valid Set 6%
12Images
Test Set 6%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 3 rows x 3 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
Rotation: Between -45° and +45°
Grayscale: Apply to 15% of images
Hue: Between -180° and +180°
Brightness: Between -20% and +20%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Brightness: Between -20% and +20%