Dataset Versions

v13

2024-04-30 6:21pm

Generated on Apr 30, 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%
1186Images
Valid Set 12%
169Images
Test Set 6%
89Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 2
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -28% and +28%
Exposure: Between -10% and +10%
Blur: Up to 0.7px

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