Dataset Versions

v2

2024-07-05 11:50am

Generated on Jul 5, 2024

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%
8769Images
Valid Set 8%
835Images
Test Set 4%
417Images

Preprocessing

Auto-Orient: Applied
Static Crop: 15-74% Horizontal Region, 27-66% Vertical Region

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Blur: Up to 4.5px
Noise: Up to 0.53% of pixels

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