Dataset Versions

v6

2023-09-09 10:01am

Generated on Sep 9, 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 88%
3535Images
Valid Set 9%
345Images
Test Set 4%
148Images

Preprocessing

Auto-Orient: Applied
Static Crop: 38-75% Horizontal Region, 17-73% Vertical Region
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%

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