Dataset Versions

Versions
flip and rotate 480
v15
·
2 years ago
2023-06-23 3:04pm
v14
·
2 years ago
480 2023-06-23 2-51pm
v13
·
2 years ago
2023-06-23 1:50pm
v12
·
2 years ago
2023-06-22 11:02pm
v11
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2 years ago
2023-06-22 10:47pm
v10
·
2 years ago
2023-06-17 8-06pm use this
v9
·
2 years ago
2023-06-17 8:04pm
v8
·
2 years ago
2023-06-17 7:52pm
v7
·
2 years ago
2023-06-17 7:47pm
v6
·
2 years ago
2023-06-13 4:46pm
v5
·
2 years ago
2023-06-13 4:42pm
v4
·
2 years ago
2023-06-13 4:26pm
v3
·
2 years ago
2023-06-13 4:23pm
v2
·
2 years ago
2023-06-13 4:18pm
v1
·
2 years ago
v7

2023-06-17 7:52pm

Generated on Jun 17, 2023
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1434 Total Images

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Dataset Split

Train Set 100%
1434Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 15-85% Horizontal Region, 0-100% Vertical Region

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 15% Minimum Zoom, 30% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%

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