Dataset Versions

v1

DCTBv1

Generated on Jan 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
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Dataset Split

Train Set 88%
72Images
Valid Set 6%
5Images
Test Set 6%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Saturation: Between -44% and +44%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Bounding Box: Blur: Up to 2px
Bounding Box: Noise: Up to 5% of pixels

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