Dataset Versions

v9

2024-04-24 3:03pm

Generated on Apr 24, 2024

Dataset Split

Train Set 89%
11026Images
Valid Set 11%
1384Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 360x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%

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