Dataset Versions

v9

2024-11-28 10:41am

Generated on Nov 28, 2024

Dataset Split

Train Set 88%
1824Images
Valid Set 9%
180Images
Test Set 4%
80Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 8-92% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -6° and +6°
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Noise: Up to 0.1% of pixels

Similar Projects

See More