Dataset Versions

v3

2023-06-20 1:26am

Generated on Jun 19, 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 70%
3615Images
Valid Set 15%
751Images
Test Set 15%
777Images

Preprocessing

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -23° and +23°
Saturation: Between -50% and +50%
Brightness: Between -36% and +36%
Exposure: Between -30% and +30%
Blur: Up to 8.25px
Noise: Up to 1% of pixels

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