Dataset Versions

Versions
2023-01-10 12:42pm
v6
·
2 years ago
2023-01-10 1:42am
v5
·
2 years ago
2022-12-29 11:17pm
v4
·
2 years ago
2022-12-29 11:12pm
v3
·
2 years ago
2022-12-29 10:57pm
v2
·
2 years ago
2022-12-29 10:55pm
v1
·
2 years ago
v1

2022-12-29 10:55pm

Generated on Dec 29, 2022
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500 Total Images

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Dataset Split

Train Set 100%
500Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -17° and +17°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -34% and +34%
Blur: Up to 2.5px

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