Dataset Versions
v3
2024-07-06 2:33am
Generated on
Jul 6, 2024
630 Total Images
View All ImagesDataset Split
Train
Set
88%
552Images
Valid
Set
8%
52Images
Test
Set
4%
26Images
Preprocessing
Resize:
Stretch to 640x640
Auto-Adjust Contrast:
Using Adaptive Equalization
Augmentations
Outputs per training example:
3
Flip:
Horizontal
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
Rotation:
Between -15° and +15°
Shear:
±10° Horizontal, ±10° Vertical
Grayscale:
Apply to 15% of images
Hue:
Between -15° and +15°
Saturation:
Between -25% and +25%
Brightness:
Between -15% and +15%
Blur:
Up to 2.5px
Noise:
Up to 0.1% of pixels
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