Dataset Versions

v4

all_augment_train_val

Generated on Feb 15, 2024

Dataset Split

Train Set 91%
4361Images
Valid Set 9%
446Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -20% and +20%
Blur: Up to 0.4px