Dataset Versions

v2

trainG3v2

Generated on Nov 13, 2021

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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%
12384Images
Valid Set 8%
1032Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Flip: Horizontal
Blur: Up to 1px
Noise: Up to 5% of pixels