Crater Detection

Crater 20-40

Instance Segmentation

Crater 20-40 Image Dataset

v5

2024-06-08 11:42pm

Generated on Jun 8, 2024

Dataset Split

Train Set 86%
1044Images
Valid Set 6%
69Images
Test Set 8%
94Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -24° and +24°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.7px
Noise: Up to 0.26% of pixels