Dataset Versions
v2
Augmentasi data latih
Generated on Jun 24, 2022
1544 Total Images
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Dataset Split
Train Set 100%
1544Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 416x416
Augmentations
Outputs per training example: 2
Rotation: Between -45° and +45°
Brightness: Between -30% and +30%
Blur: Up to 3px
Noise: Up to 10% of pixels