Dataset Versions
Versions
v1
2024-09-21 9:40pm
Generated on Sep 21, 2024
15484 Total Images
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Dataset Split
Train Set 97%
15027Images
Valid Set %
0Images
Test Set 3%
457Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 128x128
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -24° and +24°
Brightness: Between -17% and +17%
Blur: Up to 1.2px
Noise: Up to 1.33% of pixels