BottleDetection Dataset

v1

2023-12-11 8:59pm

Generated on Dec 11, 2023

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Dataset Split

Train Set 90%
486Images
Valid Set 6%
35Images
Test Set 4%
19Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels