Dataset Versions

Versions
2024-05-17 4:38pm
v2
·
7 months ago
2024-05-17 3:25pm
v1
·
7 months ago
v1

2024-05-17 3:25pm

Generated on May 17, 2024
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414 Total Images

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Dataset Split

Train Set 100%
414Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each

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