Dataset Versions

v17

2024-05-07 12:56pm

Generated on May 7, 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 85%
4941Images
Valid Set 12%
706Images
Test Set 3%
189Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -16° and +16°
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Noise: Up to 0.02% of pixels

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