Dataset Versions

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Versions
2024-12-04 8:58am
v11
·
a month ago
2024-11-29 3:54pm
v10
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a month ago
2024-11-29 3:16pm
v9
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a month ago
2024-11-26 9:06pm
v8
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a month ago
2024-11-25 8:20pm
v7
·
a month ago
2024-11-25 12:27pm
v6
·
a month ago
2024-11-25 6:55am
v5
·
a month ago
2024-11-18 4:13pm
v4
·
2 months ago
CHEST_V2
v3
·
2 months ago
v7

2024-11-25 8:20pm

Generated on Nov 25, 2024
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Dataset Split

Train Set 92%
715Images
Valid Set 5%
41Images
Test Set 3%
21Images

Preprocessing

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

Augmentations

Outputs per training example: 5
Grayscale: Apply to 15% of images
Hue: Between -22° and +22°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels

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