Dataset Versions
Versions
v1
2024-04-26 3:29pm
Generated on Apr 26, 2024
240 Total Images
View All Images
Dataset Split
Train Set 60%
144Images
Valid Set 20%
48Images
Test Set 20%
48Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
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