Dataset Versions

v5

2024-06-27 1:42am

Generated on Jun 27, 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.
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Dataset Split

Train Set 85%
1435Images
Valid Set 8%
134Images
Test Set 7%
111Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-77% Vertical Region

Augmentations

Outputs per training example: 7
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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