Dataset Versions

v1

2024-08-12 12:11am

Generated on Aug 12, 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%
503Images
Valid Set 8%
48Images
Test Set 4%
24Images

Preprocessing

Auto-Orient: Applied
Static Crop: 20-80% Horizontal Region, 0-100% Vertical Region
Resize: Fill (with center crop) in 2040x2040

Augmentations

Outputs per training example: 3
Blur: Up to 2.5px
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

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