Dataset Versions
v2
2024-04-21 8:04pm
Generated on Apr 21, 2024
1104 Total Images
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Dataset Split
Train Set 87%
960Images
Valid Set 9%
96Images
Test Set 4%
48Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 540x540
Tile: 4 rows x 4 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%