Dataset Versions

v2

Real and Synthetic

Generated on Feb 23, 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.
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Dataset Split

Train Set 90%
1749Images
Valid Set 6%
123Images
Test Set 4%
69Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Exposure: Between -15% and +15%
Blur: Up to 1.5px

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