Dataset Versions
v9
Latest data
Generated on Oct 22, 2024
2228 Total Images
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Dataset Split
Train Set 88%
1956Images
Valid Set 8%
184Images
Test Set 4%
88Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -9° and +9°
Shear: ±12° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -7% and +7%
Blur: Up to 2.5px