Dataset Versions

v5

Final Version

Generated on Aug 8, 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 88%
2427Images
Valid Set 8%
228Images
Test Set 4%
105Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Exposure: Between -5% and +5%
Cutout: 25 boxes with 2% size each
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Noise: Up to 5% of pixels