Dataset Versions

v4

2024-09-25 3:00pm

Generated on Sep 25, 2024

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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 89%
5169Images
Valid Set 9%
509Images
Test Set 2%
130Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -63% and +63%
Brightness: Between -52% and +52%
Exposure: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 10% of pixels
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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