Dataset Versions
v1
2024-01-31 12:48pm
Generated on Jan 31, 2024
272 Total Images
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Dataset Split
Train Set 88%
240Images
Valid Set 7%
20Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Dynamic Crop: Class: saglam
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -15° and +15°
Exposure: Between -10% and +10%
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom