test_small_batch Dataset
Versions
v1
2024-10-07 3:42pm
Generated on Oct 7, 2024
7769 Total Images
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Dataset Split
Train Set 88%
6798Images
Valid Set 8%
647Images
Test Set 4%
324Images
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: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels