Dataset Versions

v14

2022-10-29 1:57am

Generated on Oct 28, 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.
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Dataset Split

Train Set 87%
1758Images
Valid Set 8%
164Images
Test Set 5%
91Images

Preprocessing

Static Crop: 15-96% Horizontal Region, 0-100% Vertical Region
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -30% and +30%
Brightness: Between -10% and +10%
Blur: Up to 1px

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