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2023-03-18 6:11pm
v13
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2 years ago
2023-03-18 6:06pm
v12
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2 years ago
2023-03-01 4:09am
v11
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2 years ago
2023-02-28 7:11am
v10
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2 years ago
2023-02-28 12:52am
v9
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2 years ago
2023-02-28 12:48am
v8
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2 years ago
2023-02-26 9:54pm
v7
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2 years ago
2023-02-23 4:20pm
v6
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2 years ago
2023-02-23 4:17pm
v5
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2 years ago
2023-02-23 3:14am
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2 years ago
2023-02-23 2:45am
v3
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2 years ago
2023-02-23 2:38am
v2
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2 years ago
2023-02-23 2:28am
v1
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2 years ago
v7

2023-02-26 9:54pm

Generated on Feb 26, 2023
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Pascal VOC XML
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849 Total Images

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Dataset Split

Train Set 100%
849Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Upside Down
Crop: 0% Minimum Zoom, 33% Maximum Zoom
Rotation: Between -39° and +39°
Shear: ±17° Horizontal, ±9° Vertical
Grayscale: Apply to 92% of images
Hue: Between -157° and +157°
Saturation: Between -49% and +49%
Brightness: Between -48% and +48%
Exposure: Between -27% and +27%
Blur: Up to 0.75px
Noise: Up to 11% of pixels
Cutout: 23 boxes with 6% size each
Bounding Box: Flip: Applied
Bounding Box: Brightness: Between -23% and +23%

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