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NutriEye

Instance Segmentation

NutriEye Image Dataset

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Versions
2024-02-18 11:07pm
v8
Feb 18, 2024
2024-01-31 9:26pm
v7
Jan 31, 2024
2024-01-30 7:55pm
v6
Jan 30, 2024
2024-01-30 7:47pm
v5
Jan 30, 2024
2024-01-23 10:24pm
v4
Jan 23, 2024
2024-01-23 7:27pm
v3
Jan 23, 2024
2024-01-23 11:53am
v2
Jan 23, 2024
2024-01-20 7:32am
v1
Jan 19, 2024
v1

2024-01-20 7:32am

Generated on Jan 19, 2024
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4559 Total Images

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Dataset Split

Train Set 88%
3990Images
Valid Set 8%
379Images
Test Set 4%
190Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels