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2024-10-30 12:28am
v14
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2 months ago
2024-10-30 12:07am
v13
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2 months ago
2024-10-29 11:15pm
v12
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2 months ago
2024-10-29 12:54pm
v11
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2 months ago
2024-10-27 5:51am
v10
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2 months ago
2024-10-06 2:25pm
v9
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3 months ago
2024-10-06 2:24pm
v8
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3 months ago
2024-10-06 2:23pm
v7
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3 months ago
2024-10-06 2:00pm
v6
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3 months ago
2024-10-06 1:58pm
v5
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3 months ago
2024-10-06 1:00pm
v4
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3 months ago
2024-09-22 4:32pm
v3
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3 months ago
2024-09-18 12:23pm
v2
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3 months ago
2024-09-18 12:11pm
v1
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3 months ago
v3

2024-09-22 4:32pm

Generated on Sep 22, 2024
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129 Total Images

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Dataset Split

Train Set 86%
111Images
Valid Set 9%
12Images
Test Set 5%
6Images

Preprocessing

Auto-Orient: Applied
Dynamic Crop: Class: TRENO ARANCIONE
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°

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