Dataset Versions

v1

CNN MODEL

Generated on Jan 17, 2022

Dataset Split

Train Set 92%
936Images
Valid Set %
0Images
Test Set 8%
78Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 1 rows x 1 columns

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Blur: Up to 10px
Noise: Up to 5% of pixels
Mosaic: Applied

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