Dataset Versions

v1

2023-12-25 3-49pm

Generated on Dec 25, 2023

Dataset Split

Train Set 88%
453Images
Valid Set 8%
41Images
Test Set 4%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 0.75px
Noise: Up to 2% of pixels