Dataset Versions

Versions
2023-11-28 9:27am
v8
·
a year ago
2023-11-27 8:37pm
v7
·
a year ago
2023-11-13 8:12am
v6
·
a year ago
2023-11-12 7:18pm
v5
·
a year ago
2023-11-07 2:47pm
v4
·
a year ago
2023-11-06 9:03pm
v3
·
a year ago
2023-11-03 4:33pm
v2
·
a year ago
v6

2023-11-13 8:12am

Generated on Nov 13, 2023
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159 Total Images

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Dataset Split

Train Set 75%
120Images
Valid Set 25%
39Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1080x1080

Augmentations

Outputs per training example: 3
Rotation: Between -22° and +22°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Exposure: Between -25% and +25%
Mosaic: Applied

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