Dataset Versions

v8

2024-09-15 3:00pm

Generated on Sep 15, 2024

Dataset Split

Train Set 83%
4148Images
Valid Set 14%
717Images
Test Set 3%
145Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 448x448
Filter Null: Require at least 99% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 0.18% of pixels