Dataset Versions

v1

2022-12-16 9:04am

Generated on Dec 16, 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 86%
170Images
Valid Set 8%
15Images
Test Set 6%
12Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-85% Horizontal Region, 25-100% Vertical Region
Resize: Stretch to 192x192

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%

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