Dataset Versions

v3

2024-01-24 1:28am

Generated on Jan 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.
Other Formats
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Dataset Split

Train Set 88%
636Images
Valid Set 8%
58Images
Test Set 4%
31Images

Preprocessing

Auto-Orient: Applied
Static Crop: 16-100% Horizontal Region, 10-100% Vertical Region
Resize: Stretch to 255x255

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Brightness: Between -20% and +20%
Blur: Up to 1.6px

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