college

docbox5

Object Detection

docbox5 Image Dataset

v5

2023-12-06 3:35am

Generated on Dec 5, 2023

Popular Download Formats

Dataset Split

Train Set 95%
852Images
Valid Set 3%
29Images
Test Set 2%
20Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -3° and +3°
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -12% and +12%
Brightness: Between -10% and +10%
Exposure: Between -11% and +11%
Blur: Up to 1.25px
Noise: Up to 2% of pixels
Cutout: 3 boxes with 2% size each