Dataset Versions

v1

1

Generated on May 12, 2023

Dataset Split

Train Set 93%
4119Images
Valid Set 4%
197Images
Test Set 2%
110Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 7% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±25° Horizontal, ±25° Vertical
Saturation: Between -32% and +32%
Brightness: Between -64% and +64%
Exposure: Between -36% and +36%
Blur: Up to 1.75px
Noise: Up to 6% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -45° and +45°

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