Dataset Versions

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2023-10-23 3:14pm
v45
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a year ago
2023-10-23 8:51am
v44
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a year ago
2023-10-22 6:22pm
v42
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a year ago
2023-10-22 2:44pm
v39
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a year ago
2023-10-22 2:36pm
v38
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a year ago
2023-10-22 5:48am
v37
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a year ago
2023-10-22 12:15am
v36
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a year ago
2023-10-21 4:26pm
v35
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a year ago
2023-10-21 2:29am
v31
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a year ago
2023-10-20 9:45pm
v30
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a year ago
2023-10-17 2:37pm
v25
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a year ago
2023-10-16 7:26pm
v24
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a year ago
2023-10-15 7:07pm
v23
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a year ago
2023-10-08 1:25pm
v22
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a year ago
2023-10-07 2:00am
v15
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a year ago
2023-09-20 9:17am
v13
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a year ago
2023-08-21 5:16pm
v7
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a year ago
2023-07-31 12:43pm
v1
·
a year ago
v1

2023-07-31 12:43pm

Generated on Jul 31, 2023
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604 Total Images

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Dataset Split

Train Set 87%
528Images
Valid Set 7%
40Images
Test Set 6%
36Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1.75px
Noise: Up to 3% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -20° and +20°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 2% of pixels

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