Dataset Versions

v3

2022-10-13 3:51pm

Generated on Oct 13, 2022

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 90%
1017Images
Valid Set 9%
101Images
Test Set 1%
8Images

Preprocessing

Static Crop: 5-95% Horizontal Region, 10-100% Vertical Region
Resize: Fit (black edges) in 1280x720

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Exposure: Between -10% and +10%
Blur: Up to 2px

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