Dataset Versions
Versions
v1
2024-02-10 11:15am
Generated on Feb 10, 2024
44253 Total Images
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Dataset Split
Train Set 80%
35262Images
Valid Set 14%
6300Images
Test Set 6%
2691Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 480x480
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 2.43% of pixels
Cutout: 3 boxes with 10% size each