Dataset Versions

v2

2023-07-14 3:35pm

Generated on Jul 14, 2023

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%
726Images
Valid Set 11%
98Images
Test Set 7%
61Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 768x768

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.75px

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