Dataset Versions

Versions
2024-03-27 11:04am
v13
·
8 months ago
2024-03-27 10:51am
v12
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8 months ago
2024-03-27 10:50am
v11
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8 months ago
2024-03-27 10:46am
v10
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8 months ago
2024-03-27 10:44am
v9
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8 months ago
2024-01-19 9:00pm
v8
·
10 months ago
2024-01-19 8:56pm
v7
·
10 months ago
2023-10-16 8:13pm
v6
·
a year ago
2023-10-14 9:52pm
v5
·
a year ago
2023-10-14 9:42pm
v4
·
a year ago
2023-10-14 9:41pm
v3
·
a year ago
2023-10-14 9:40pm
v2
·
a year ago
2023-10-14 9:38pm
v1
·
a year ago
v1

2023-10-14 9:38pm

Generated on Oct 14, 2023
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380 Total Images

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Dataset Split

Train Set 95%
360Images
Valid Set 5%
20Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Mosaic: Applied

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