workshop Computer Vision Dataset
809 Total Images
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Dataset Split
Train Set 88%
708Images
Valid Set 6%
51Images
Test Set 6%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 0.5% of pixels
Motion Blur: Length 10px, Angle: 0°, Frames: 1