Dataset Versions

v9

raghad-v6

Generated on Nov 19, 2021

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 91%
1719Images
Valid Set 6%
120Images
Test Set 3%
59Images

Preprocessing

Resize: Fit (reflect edges) in 544x544
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Hue: Between -25° and +25°
Exposure: Between -25% and +25%
Mosaic: Applied

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