Dataset Versions

v10

2024-07-02 5:56pm

Generated on Jul 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.
Other Formats
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Dataset Split

Train Set 83%
831Images
Valid Set 9%
88Images
Test Set 8%
80Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -30% and +30%
Brightness: Between -21% and +21%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 0.77% of pixels

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