Dataset Versions

v14

2024-06-14 11:33am

Generated on Jun 14, 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 87%
4875Images
Valid Set 8%
466Images
Test Set 4%
232Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -30% and +30%
Brightness: Between -22% and +22%
Exposure: Between -11% and +11%
Blur: Up to 1.1px
Cutout: 25 boxes with 3% size each
Bounding Box: Blur: Up to 1.5px

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