Dataset Versions
v1
Semi
Generated on Aug 29, 2023
184 Total Images
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Dataset Split
Train Set 88%
162Images
Valid Set 8%
14Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Brightness: Between -35% and +35%
Exposure: Between -64% and +64%
Blur: Up to 2.5px
Noise: Up to 9% of pixels