Dataset Versions
Versions
v1
2025-01-01 2:38pm
Generated on Jan 1, 2025
4281 Total Images
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Dataset Split
Train Set 95%
4050Images
Valid Set 5%
231Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 10
Flip: Horizontal
Crop: 4% Minimum Zoom, 21% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±6° Horizontal, ±8° Vertical
Grayscale: Apply to 15% of images
Hue: Between -23° and +23°
Saturation: Between -30% and +30%
Brightness: Between -21% and +21%
Exposure: Between -10% and +10%
Blur: Up to 1.7px
Noise: Up to 0.73% of pixels