Dataset Versions

v7

2024-02-25 6:40pm

Generated on Feb 25, 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 87%
192Images
Valid Set 9%
20Images
Test Set 4%
8Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 0-67% Vertical Region

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Brightness: Between -6% and +6%
Blur: Up to 1.1px
Noise: Up to 0.5% of pixels

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