Dataset Versions

v1

2023-11-04 9:55pm

Generated on Nov 4, 2023

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 88%
322Images
Valid Set 8%
31Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Static Crop: 26-75% Horizontal Region, 24-74% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -27% and +27%

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