Dataset Versions

Versions
2023-09-18 9:15pm
v6
·
a year ago
2023-09-18 6:32pm
v5
·
a year ago
2023-09-18 3:20pm
v4
·
a year ago
2023-09-18 2:34pm
v3
·
a year ago
2023-09-17 4:35pm
v2
·
a year ago
2023-09-17 1:27pm
v1
·
a year ago
v1

2023-09-17 1:27pm

Generated on Sep 17, 2023
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180 Total Images

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Dataset Split

Train Set 100%
180Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -35° and +35°
Shear: ±30° Horizontal, ±30° Vertical
Hue: Between -35° and +35°
Blur: Up to 1.5px
Noise: Up to 5% of pixels

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