Dataset Versions

v9

AugmentedV500

Generated on Nov 9, 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%
1200Images
Valid Set 6%
80Images
Test Set 2%
20Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°

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