Dataset Versions
v3
resized640x640-aug7x-RFTrain
Generated on Apr 13, 2023
1047 Total Images
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Dataset Split
Train Set 94%
987Images
Valid Set 4%
40Images
Test Set 2%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 5% of images
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -12% and +12%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Cutout: 4 boxes with 3% size each