Dataset Versions
Versions
v1
2023-06-23 12:52pm
Generated on Jun 23, 2023
491 Total Images
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Dataset Split
Train Set 91%
447Images
Valid Set 5%
25Images
Test Set 4%
19Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 50% of images
Hue: Between -41° and +41°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 12% of pixels
Cutout: 3 boxes with 10% size each