Dataset Versions

v1

2024-11-02 4:29am

Generated on Nov 2, 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 84%
8252Images
Valid Set 8%
804Images
Test Set 8%
805Images

Preprocessing

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

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 4.8px
Bounding Box: Noise: Up to 0.1% of pixels

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