Dataset Versions

v5

2024-05-02 1:15pm

Generated on May 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 88%
3483Images
Valid Set 8%
335Images
Test Set 4%
159Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-86% Horizontal Region, 10-91% Vertical Region
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Brightness: Between -16% and +16%
Exposure: Between -15% and +15%

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