Dataset Versions

v5

2024-07-15 11:48am

Generated on Jul 15, 2024

Popular Download Formats

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.
Other Formats
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Dataset Split

Train Set 82%
328Images
Valid Set 12%
48Images
Test Set 6%
24Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Noise: Up to 10% of pixels
Bounding Box: Shear: ±23° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 6.5px

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