Dataset Versions

v1

Generated_Dataset1

Generated on Dec 2, 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 92%
1047Images
Valid Set 4%
45Images
Test Set 4%
43Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 608x608

Augmentations

Outputs per training example: 3
Brightness: Between -29% and +29%
Exposure: Between -20% and +20%
Bounding Box: Noise: Up to 2% of pixels

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