Dataset Versions

Versions
2024-03-25 1:03am
v9
·
8 months ago
2024-03-25 12:02am
v8
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8 months ago
2024-03-24 10:59pm
v7
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8 months ago
2024-03-24 8:42pm
v6
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8 months ago
2024-03-24 8:37pm
v5
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8 months ago
2024-03-24 1:00pm
v4
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8 months ago
2024-03-22 3:45pm
v3
·
8 months ago
2024-03-22 3:28pm
v2
·
8 months ago
2024-03-22 2:48pm
v1
·
8 months ago
v7

2024-03-24 10:59pm

Generated on Mar 24, 2024
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26639 Total Images

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Dataset Split

Train Set 94%
25102Images
Valid Set 4%
1025Images
Test Set 2%
512Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 98% of images to contain annotations.

Augmentations

Outputs per training example: 7
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%

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