Dataset Versions

v1

2024-07-24 8:20pm

Generated on Jul 24, 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 87%
351Images
Valid Set 8%
34Images
Test Set 4%
17Images

Preprocessing

Auto-Orient: Applied
Static Crop: 35-71% Horizontal Region, 13-72% Vertical Region
Resize: Fit within 680x460

Augmentations

Outputs per training example: 3
Saturation: Between -29% and +29%
Brightness: Between -22% and +22%

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