Dataset Versions

v8

2023-07-14 3:03pm

Generated on Jul 13, 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.
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Dataset Split

Train Set 92%
327Images
Valid Set 6%
20Images
Test Set 3%
10Images

Preprocessing

Auto-Orient: Applied
Static Crop: 29-53% Horizontal Region, 41-69% Vertical Region
Resize: Stretch to 600x600

Augmentations

Outputs per training example: 3
Exposure: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 3% of pixels

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