Dataset Versions

Versions
2024-10-07 7:06pm
v18
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2 months ago
2024-10-07 2:34pm
v17
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2 months ago
2024-10-07 2:04pm
v15
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2 months ago
2024-10-07 1:53pm
v14
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2 months ago
2024-10-07 11:19am
v13
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2 months ago
last_version
v12
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2 months ago
2024-10-06 8:55pm
v10
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2 months ago
2024-10-06 8:52pm
v9
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2 months ago
sevomin_azmon
v8
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2 months ago
dovomin_azmon
v7
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2 months ago
avlin_azmon
v6
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2 months ago
2024-09-29 6:52pm
v3
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2 months ago
2024-09-29 4:46pm
v2
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2 months ago
2024-09-29 2:28pm
v1
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2 months ago
v3

2024-09-29 6:52pm

Generated on Sep 29, 2024
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1962 Total Images

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Dataset Split

Train Set 85%
1662Images
Valid Set 15%
300Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 2 rows x 1 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±6° Horizontal, ±12° Vertical
Grayscale: Apply to 17% of images
Hue: Between -23° and +23°
Saturation: Between -18% and +18%
Brightness: Between -16% and +16%
Exposure: Between -11% and +11%
Blur: Up to 0.6px
Noise: Up to 0.37% of pixels

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