Dataset Versions

v5

T1-ResNet

Generated on Dec 26, 2023

Dataset Split

Train Set 83%
2352Images
Valid Set %
0Images
Test Set 17%
474Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Blur: Up to 2.25px
Noise: Up to 6% of pixels
Cutout: 7 boxes with 5% size each

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