Dataset Versions

v1

2024-10-12 8:09am

Generated on Oct 12, 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 82%
146Images
Valid Set 12%
21Images
Test Set 6%
10Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-66% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Saturation: Between -32% and +32%
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Noise: Up to 1.96% of pixels

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