Dataset Versions

v7

2022-10-11 2:04pm

Generated on Oct 11, 2022

Dataset Split

Train Set 87%
570Images
Valid Set 13%
85Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 550x550
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±16° Horizontal, ±11° Vertical
Hue: Between -25° and +25°
Saturation: Between -21% and +21%
Exposure: Between -15% and +15%
Noise: Up to 7% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -6% and +6%
Bounding Box: Blur: Up to 1.75px