Dataset Versions

v3

2023-11-07 1:48pm

Generated on Nov 7, 2023

Dataset Split

Train Set 88%
10860Images
Valid Set 9%
1116Images
Test Set 3%
372Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels

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