Dataset Versions

v1

512x512_Augmented

Generated on Jun 6, 2023

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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 86%
6600Images
Valid Set 9%
660Images
Test Set 6%
440Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 2
Brightness: Between -30% and +30%
Blur: Up to 1px
Noise: Up to 5% of pixels

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