Dataset Versions

v2

2023-09-08 8:24pm

Generated on Sep 8, 2023

Dataset Split

Train Set 86%
132Images
Valid Set 9%
14Images
Test Set 5%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
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 -15° and +15°
Brightness: Between -10% and +10%

Similar Projects

See More