Dataset Versions

v2

2024-03-03 2:51pm

Generated on Mar 3, 2024

Dataset Split

Train Set 87%
11181Images
Valid Set 4%
562Images
Test Set 8%
1043Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 5 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels

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