Object_detection Computer Vision Dataset
Versions
659 Total Images
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Dataset Split
Train Set 95%
624Images
Valid Set 3%
24Images
Test Set 2%
11Images
Preprocessing
Static Crop: 5-95% Horizontal Region, 0-97% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels