Dataset Versions

Versions
2023-06-18 1:26am
v17
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a year ago
2023-06-17 11:36pm
v16
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a year ago
2023-06-17 11:36pm
v15
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a year ago
2023-06-17 11:33pm
v14
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a year ago
2023-06-17 8:59pm
v13
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a year ago
2023-06-17 7:30pm
v12
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a year ago
2023-06-17 7:27pm
v11
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a year ago
2023-06-17 7:22pm
v10
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a year ago
2023-06-17 7:14pm
v9
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a year ago
2023-06-17 7:01pm
v8
·
a year ago
2023-06-16 10:22pm
v7
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a year ago
2023-06-16 10:20pm
v6
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a year ago
2023-06-16 10:02pm
v5
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a year ago
2023-06-16 10:00pm
v4
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a year ago
2023-06-16 9:57pm
v3
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a year ago
2023-06-16 9:55pm
v2
·
a year ago
2023-06-16 9:54pm
v1
·
a year ago
v17

2023-06-18 1:26am

Generated on Jun 17, 2023
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300 Total Images

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Dataset Split

Train Set 100%
300Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
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 -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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