Dataset Versions
Versions
v1
2023-12-06 6:39pm
Generated on Dec 6, 2023
3004 Total Images
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Dataset Split
Train Set 87%
2628Images
Valid Set 8%
252Images
Test Set 4%
124Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -55° and +55°
Saturation: Between -99% and +99%
Brightness: Between -62% and +62%
Exposure: Between -49% and +49%
Blur: Up to 3.75px
Noise: Up to 18% of pixels
Mosaic: Applied