Dataset Versions

v1

v1

Generated on Oct 28, 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 88%
1500Images
Valid Set 8%
142Images
Test Set 4%
71Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 450x450

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Saturation: Between -27% and +27%
Brightness: Between -21% and +21%
Exposure: Between -10% and +10%
Blur: Up to 0.8px

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