Dataset Versions

Versions
2023-11-14 1:24pm
v9
·
a year ago
2023-10-26 11:55am
v8
·
a year ago
2023-07-21 1:45pm
v7
·
a year ago
2023-07-21 1:15pm
v6
·
a year ago
2023-07-18 2:56pm
v5
·
a year ago
2023-07-18 2:08pm
v4
·
a year ago
2023-07-18 1:16pm
v3
·
a year ago
2023-07-18 12:35pm
v2
·
a year ago
2023-07-18 10:44am
v1
·
a year ago
v9

2023-11-14 1:24pm

Generated on Nov 14, 2023
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143 Total Images

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Dataset Split

Train Set 94%
135Images
Valid Set 6%
8Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied

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