Dataset Versions

Versions
2024-12-18 12:49pm
v9
·
23 days ago
2024-12-16 10:33am
v8
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25 days ago
2024-12-16 10:32am
v7
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25 days ago
2024-12-16 10:30am
v6
·
25 days ago
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v5
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25 days ago
2024-12-10 2:28pm
v4
·
a month ago
2024-12-02 10:15am
v3
·
a month ago
2024-12-02 10:14am
v2
·
a month ago
2024-11-29 3:27pm
v1
·
a month ago
v4

2024-12-10 2:28pm

Generated on Dec 10, 2024
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480 Total Images

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Dataset Split

Train Set 88%
420Images
Valid Set 13%
60Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x480

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Grayscale: Apply to 15% of images
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.9px
Noise: Up to 0.14% of pixels

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