Dataset Versions

v1

2023-08-02 8:48pm

Generated on Aug 2, 2023

Dataset Split

Train Set 88%
168Images
Valid Set 8%
16Images
Test Set 4%
8Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 2.5px
Noise: Up to 5% of pixels

Similar Projects

See More