Dataset Versions

v1

2023-04-11 10:26pm

Generated on Apr 11, 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.
Other Formats
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Dataset Split

Train Set 92%
2892Images
Valid Set 6%
188Images
Test Set 2%
52Images

Preprocessing

Auto-Orient: Applied
Static Crop: 26-75% Horizontal Region, 19-90% Vertical Region
Resize: Fill (with center crop) in 800x800
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal, Vertical

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