Dataset Versions

v6

2024-09-14 3:06pm

Generated on Sep 14, 2024

Dataset Split

Train Set 86%
4484Images
Valid Set 10%
537Images
Test Set 4%
211Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
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