Dataset Versions
v4
2024-08-19 9:47am
Generated on Aug 19, 2024
4162 Total Images
View All Images
Dataset Split
Train Set 88%
3642Images
Valid Set 8%
346Images
Test Set 4%
174Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x480
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 20% of images
Saturation: Between -30% and +30%
Brightness: Between -60% and +60%
Exposure: Between -25% and +25%
Bounding Box: Rotation: Between -15° and +15°
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