Dataset Versions

v2

Larger images for small detection

Generated on Apr 4, 2022

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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 88%
10605Images
Valid Set 8%
1009Images
Test Set 4%
505Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Blur: Up to 3px
Noise: Up to 25% of pixels

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