Dataset Versions
Versions
v1
2023-10-19 6:20pm
Generated on Oct 19, 2023
960 Total Images
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Dataset Split
Train Set 88%
840Images
Valid Set 8%
80Images
Test Set 4%
40Images
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