Dataset Versions

Versions
2023-11-19 11:54am
v8
·
a year ago
2023-11-19 11:39am
v7
·
a year ago
2023-11-17 11:27pm
v6
·
a year ago
2023-11-17 11:08pm
v5
·
a year ago
2023-11-17 10:46pm
v4
·
a year ago
2023-11-17 10:04pm
v3
·
a year ago
2023-11-16 10:30pm
v2
·
a year ago
2023-11-12 3:46pm
v1
·
a year ago
v8

2023-11-19 11:54am

Generated on Nov 19, 2023
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520 Total Images

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Dataset Split

Train Set 92%
480Images
Valid Set 8%
40Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Mosaic: Applied

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