Dataset Versions

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Versions
640-v10
v33
·
8 months ago
640-v9
v32
·
8 months ago
640-v8
v31
·
8 months ago
640-v7
v30
·
8 months ago
640-v6
v29
·
8 months ago
640-v5
v28
·
8 months ago
640-v4
v27
·
8 months ago
640-v3
v26
·
8 months ago
640-v2
v25
·
8 months ago
640-v1
v24
·
8 months ago
2024-03-18 12:16am
v7
·
8 months ago
2024-01-27 4:54pm
v4
·
10 months ago
Segmentation-v1
v2
·
10 months ago
v27

640-v4

Generated on Mar 23, 2024
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3499 Total Images

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Dataset Split

Train Set 94%
3304Images
Valid Set 4%
130Images
Test Set 2%
65Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 7
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 1% of pixels

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