Dataset Versions

v2

2024-01-04 5:37pm

Generated on Jan 4, 2024

Dataset Split

Train Set 95%
21Images
Valid Set 5%
1Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Dynamic Crop: Class: Rust
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±14° Vertical
Hue: Between -25° and +25°
Saturation: Between -32% and +32%
Brightness: Between -21% and +21%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.56% of pixels

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