Dataset Versions

Versions
2024-10-07 7:06pm
v18
·
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
·
2 months ago
last_version
v12
·
2 months ago
2024-10-06 8:55pm
v10
·
2 months ago
2024-10-06 8:52pm
v9
·
2 months ago
sevomin_azmon
v8
·
2 months ago
dovomin_azmon
v7
·
2 months ago
avlin_azmon
v6
·
2 months ago
2024-09-29 6:52pm
v3
·
2 months ago
2024-09-29 4:46pm
v2
·
2 months ago
2024-09-29 2:28pm
v1
·
2 months ago
v6

avlin_azmon

Generated on Sep 29, 2024
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4324 Total Images

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Dataset Split

Train Set 91%
3924Images
Valid Set 9%
400Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 3-100% Horizontal Region, 3-100% Vertical Region
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 5% of images
Hue: Between -14° and +14°
Saturation: Between -18% and +18%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 0.1px
Noise: Up to 0.05% of pixels

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