Dataset Versions

v3

Maggie

Generated on Nov 25, 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 88%
4248Images
Valid Set 8%
404Images
Test Set 4%
202Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 416x416

Augmentations

Outputs per training example: 3
Shear: ±32° Horizontal, ±10° Vertical
Saturation: Between -61% and +61%
Blur: Up to 10px
Noise: Up to 11% of pixels

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