Dataset Versions

v6

2024-03-30 8:42pm

Generated on Mar 30, 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 83%
408Images
Valid Set 12%
58Images
Test Set 6%
28Images

Preprocessing

Static Crop: 25-73% Horizontal Region, 25-94% Vertical Region
Resize: Stretch to 800x800

Augmentations

Outputs per training example: 2
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%

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