Dataset Versions

v5

v1

Generated on Apr 16, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 77%
4700Images
Valid Set 16%
1000Images
Test Set 6%
370Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 25% of images to contain annotations.

Augmentations

Outputs per training example: 1
Brightness: Between -42% and +42%
Exposure: Between -20% and +20%
Blur: Up to 1.5px

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