Dataset Versions
v3
2023-10-18 7:53pm
Generated on Oct 19, 2023
1168 Total Images
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Dataset Split
Train Set 86%
1008Images
Valid Set 9%
100Images
Test Set 5%
60Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1920x1080
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied