Dataset Versions
v3
2024-09-03 5:06am
Generated on Sep 3, 2024
1001 Total Images
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Dataset Split
Train Set 88%
876Images
Valid Set 8%
83Images
Test Set 4%
42Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Brightness: Between 0% and +20%