college

docbox5

Object Detection

docbox5 Image Dataset

v5

2023-12-06 3:35am

Generated on Dec 5, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

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