Dataset Versions

v2

v2_320

Generated on Jan 9, 2025

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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 92%
7041Images
Valid Set 5%
367Images
Test Set 3%
268Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Grayscale: Apply to 25% of images

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