Dataset Versions

Versions
2023-03-14 12:05pm
v15
·
2 years ago
2023-03-14 11:59am
v14
·
2 years ago
2023-03-14 11:56am
v13
·
2 years ago
2023-03-14 11:52am
v12
·
2 years ago
2023-03-14 11:21am
v11
·
2 years ago
2023-03-14 11:14am
v10
·
2 years ago
2023-03-14 11:08am
v9
·
2 years ago
2023-03-13 8:11pm
v8
·
2 years ago
2023-03-13 8:09pm
v7
·
2 years ago
2023-03-13 8:07pm
v6
·
2 years ago
2023-03-13 8:06pm
v5
·
2 years ago
2023-03-13 8:02pm
v4
·
2 years ago
2023-03-13 7:26pm
v3
·
2 years ago
2023-03-13 7:21pm
v2
·
2 years ago
2023-03-13 7:06pm
v1
·
2 years ago
v10

2023-03-14 11:14am

Generated on Mar 14, 2023
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522 Total Images

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Dataset Split

Train Set 97%
504Images
Valid Set %
0Images
Test Set 3%
18Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Cutout: 3 boxes with 10% size each

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