Dataset Versions

v7

2024-01-08 3:30pm

Generated on Jan 8, 2024

Dataset Split

Train Set 91%
3762Images
Valid Set 5%
220Images
Test Set 4%
145Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -15° and +15°
Noise: Up to 0.12% of pixels

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