Dataset Versions
v3
avec augmentation
Generated on Dec 4, 2024
281 Total Images
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Dataset Split
Train Set 88%
246Images
Valid Set 8%
23Images
Test Set 4%
12Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -10% and +10%
Blur: Up to 0.7px
Noise: Up to 1.01% of pixels