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MedicineBoxDetection_transformed

Object Detection

MedicineBoxDetection_transformed Image Dataset

v1

2024-04-24 9:15am

Generated on Apr 24, 2024

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Dataset Split

Train Set 92%
250Images
Valid Set 6%
15Images
Test Set 3%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 4.7px
Noise: Up to 4.42% of pixels
Cutout: 5 boxes with 15% size each