Dataset Versions

v3

2024-10-20 2:30pm

Generated on Oct 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.
Other Formats
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Dataset Split

Train Set 95%
5200Images
Valid Set 2%
125Images
Test Set 2%
125Images

Preprocessing

Auto-Orient: Applied
Static Crop: 18-71% Horizontal Region, 20-87% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 5
Rotation: Between -22° and +22°
Shear: ±10° Horizontal, ±10° Vertical
Cutout: 10 boxes with 10% size each

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