Dataset Versions

v1

2023-03-22 1-58pm

Generated on Mar 22, 2023

Dataset Split

Train Set 87%
75Images
Valid Set 8%
7Images
Test Set 5%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -35° and +35°
Grayscale: Apply to 12% of images
Hue: Between -102° and +102°
Saturation: Between -61% and +61%
Brightness: Between -60% and +60%
Exposure: Between -9% and +9%
Mosaic: Applied