Dataset Versions
v2
2024-10-16 11:29am
Generated on Oct 16, 2024
7360 Total Images
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Dataset Split
Train Set 89%
6528Images
Valid Set 8%
608Images
Test Set 3%
224Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1024x1024
Tile: 4 rows x 4 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -24° and +24°
Saturation: Between -34% and +34%
Brightness: Between -11% and +11%
Blur: Up to 0.5px
Noise: Up to 0.14% of pixels
Mosaic: Applied