Dataset Versions

2024-11-29 12:56pm

Generated on Nov 29, 2024

Train Set 87%

405Images

Valid Set 8%

39Images

Test Set 4%

19Images

Auto-Orient: Applied

Resize: Stretch to 640x640

Auto-Adjust Contrast: Using Histogram Equalization

Grayscale: Applied

Filter Null: Require all images to contain annotations.

Outputs per training example: 3

Grayscale: Apply to 52% of images

Hue: Between -121° and +121°

Saturation: Between -59% and +59%

Brightness: Between -15% and +15%

Exposure: Between -43% and +43%

Blur: Up to 1.8px

Noise: Up to 4.3% of pixels

Bounding Box: Brightness: Between -15% and +15%

Bounding Box: Exposure: Between -53% and +53%

Bounding Box: Blur: Up to 14px

Bounding Box: Noise: Up to 4.42% of pixels