Dataset Versions

v3

2024-08-20 2:58pm

Generated on Aug 20, 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 82%
5536Images
Valid Set 12%
792Images
Test Set 6%
395Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640

Augmentations

Outputs per training example: 2
Rotation: Between -15° and +15°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px

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