Dataset Versions

v3

2024-05-08 6:14pm

Generated on May 8, 2024

Dataset Split

Train Set 88%
483Images
Valid Set 7%
41Images
Test Set 4%
23Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -16% and +16%
Brightness: Between -15% and +15%