Dataset Versions

v1

trainG2v1

Generated on Nov 19, 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 94%
20211Images
Valid Set 6%
1189Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±30° Horizontal, ±30° Vertical
Blur: Up to 1.25px