Dataset Versions
v3
2023-08-29 7:13pm
Generated on Aug 29, 2023
2501 Total Images
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Dataset Split
Train Set 95%
2382Images
Valid Set 3%
79Images
Test Set 2%
40Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -39° and +39°
Grayscale: Apply to 73% of images
Hue: Between -115° and +115°
Saturation: Between -50% and +50%
Brightness: Between -35% and +35%
Exposure: Between -47% and +47%
Blur: Up to 4.25px
Noise: Up to 6% of pixels
Cutout: 9 boxes with 9% size each
Mosaic: Applied