AR3_detection_v2 Dataset

Versions
2024-08-02 6:57am
v18
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2 months ago
2024-07-31 6:59am
v17
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2024-07-31 6:55am
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2 months ago
2024-07-22 5:38am
v15
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2 months ago
2024-07-11 7:46am
v14
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3 months ago
2024-06-25 4:55am
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3 months ago
2024-06-25 3:31am
v12
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3 months ago
2024-06-25 3:13am
v11
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3 months ago
2024-06-24 7:55am
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3 months ago
2024-06-24 7:48am
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3 months ago
2024-06-24 7:42am
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3 months ago
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v4
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3 months ago
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4 months ago
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v2
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4 months ago
2024-05-16 3:07pm
v1
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4 months ago
v4

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Generated on Jun 24, 2024
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705 Total Images

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Dataset Split

Train Set 90%
636Images
Valid Set 10%
69Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter by Tag: 0 required, 1 dropped

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.34% of pixels

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