Dataset Versions

v6

2024-03-17 5:43pm

Generated on Mar 17, 2024

Dataset Split

Train Set 90%
1086Images
Valid Set 7%
81Images
Test Set 4%
45Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x384
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Hue: Between -11° and +11°
Brightness: Between -7% and +7%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 1.71% of pixels

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