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2023-07-04 4:32pm
v32
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a year ago
2023-07-04 2:30pm
v31
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a year ago
2023-07-04 1:55pm
v30
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2023-07-04 11:46am
v29
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2023-07-04 11:30am
v28
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2023-07-04 8:25am
v27
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2023-07-04 8:03am
v26
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a year ago
2023-07-03 4:39pm
v25
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a year ago
2023-06-23 10:25pm
v24
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2023-06-23 8:08pm
v23
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2023-06-23 5:21pm
v22
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2023-06-21 3:24pm
v21
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2023-06-08 3:14pm
v4
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a year ago
2023-06-08 2:47pm
v3
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a year ago
v31

2023-07-04 2:30pm

Generated on Jul 4, 2023
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6188 Total Images

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Dataset Split

Train Set 93%
5741Images
Valid Set 7%
447Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 17 remapped, 21 dropped
Filter Null: Require at least 75% of images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 20% of images
Hue: Between -91° and +91°
Saturation: Between -17% and +17%
Brightness: Between -15% and +15%
Blur: Up to 1.75px
Noise: Up to 8% of pixels
Bounding Box: Rotation: Between -14° and +14°
Bounding Box: Exposure: Between -15% and +15%

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