Dataset Versions
v6
2024-05-23 5:39pm
Generated on May 23, 2024
11756 Total Images
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Dataset Split
Train Set 93%
10884Images
Valid Set 5%
588Images
Test Set 2%
284Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Blur: Up to 2.5px
Mosaic: Applied