Dataset Versions

v6

2022-09-26 4:59pm

Generated on Sep 26, 2022

Dataset Split

Train Set 88%
552Images
Valid Set 12%
73Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 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
Exposure: Between -15% and +15%
Noise: Up to 4% of pixels
Bounding Box: Brightness: Between -6% and +6%
Bounding Box: Blur: Up to 0.5px