Dataset Versions

v1

V3

Generated on Jun 27, 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.
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Dataset Split

Train Set 96%
12378Images
Valid Set 3%
363Images
Test Set 2%
203Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±7° Horizontal, ±7° Vertical
Brightness: Between -20% and +20%
Blur: Up to 0.5px

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