Dataset Versions

v2

2024-06-11 8:39pm

Generated on Jun 11, 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%
3365Images
Valid Set 8%
323Images
Test Set 4%
157Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1400x2000
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -2% and +2%
Brightness: Between -1% and +1%
Exposure: Between -1% and +1%