Dataset Versions

v86

2025-01-09 8:24pm

Generated on Jan 9, 2025

Dataset Split

Train Set 92%
657Images
Valid Set 4%
28Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 960x960
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Hue: Between -5° and +5°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 0.5% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Exposure: Between -10% and +10%