Dataset Versions
v1
2023-10-26 2:03pm
Generated on Oct 26, 2023
278 Total Images
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Dataset Split
Train Set 87%
243Images
Valid Set 8%
23Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each