Dataset Versions
Versions
v1
2024-06-03 4:55pm
Generated on Jun 3, 2024
160 Total Images
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Dataset Split
Train Set 88%
141Images
Valid Set 8%
12Images
Test Set 4%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -24% and +24%
Noise: Up to 1.72% of pixels