Dataset Versions

v2

7 K set

Generated on Feb 19, 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 82%
6445Images
Valid Set 12%
921Images
Test Set 6%
460Images

Preprocessing

Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 2
Brightness: Between -7% and +7%
Exposure: Between -20% and +20%
Blur: Up to 1px

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4.8k images