Dataset Versions

v20

DB-UDOC

Generated on Mar 27, 2022

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.
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Dataset Split

Train Set 87%
5073Images
Valid Set 9%
497Images
Test Set 4%
242Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 6 remapped, 0 dropped
Filter Null: Require at least 98% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -5° and +5°
Brightness: Between 0% and +10%
Exposure: Between -10% and +10%
Cutout: 3 boxes with 6% size each

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