Dataset Versions

v6

2024-10-01 3:10pm

Generated on Oct 1, 2024

Dataset Split

Train Set 87%
9390Images
Valid Set 8%
913Images
Test Set 4%
465Images

Preprocessing

Auto-Orient: Applied
Static Crop: 14-89% Horizontal Region, 9-94% Vertical Region
Resize: Fit within 299x299
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 2.5px