Dataset Versions

v7

2023-01-31 3:00pm

Generated on Jan 31, 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
Choose another format.

Dataset Split

Train Set 70%
840Images
Valid Set 20%
239Images
Test Set 10%
121Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 1
Rotation: Between -15° and +15°
Grayscale: Apply to 5% of images
Blur: Up to 2.25px

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