Dataset Versions

v1

2022-07-22 6:53pm

Generated on Jul 22, 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 92%
3135Images
Valid Set 4%
134Images
Test Set 4%
131Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-93% Horizontal Region, 23-91% Vertical Region
Resize: Stretch to 600x540

Augmentations

Outputs per training example: 3
Saturation: Between -20% and +20%
Brightness: Between -30% and +30%
Exposure: Between -17% and +17%
Blur: Up to 1px

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