Dataset Versions

v9

2024-09-01 4:35pm

Generated on Sep 1, 2024

Dataset Split

Train Set 89%
12075Images
Valid Set 8%
1073Images
Test Set 4%
494Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 35 remapped, 5 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Hue: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels