Dataset Versions

v1

2024-08-09 5:59pm

Generated on Aug 9, 2024

Dataset Split

Train Set 89%
523Images
Valid Set 7%
44Images
Test Set 4%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 320x240
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Exposure: Between -10% and +10%