Dataset Versions

v1

2023-02-16 3:22pm

Generated on Feb 16, 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 96%
25326Images
Valid Set 2%
472Images
Test Set 2%
465Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 250x90

Augmentations

Outputs per training example: 3
Saturation: Between -13% and +13%
Bounding Box: Brightness: Between -17% and +17%
Bounding Box: Blur: Up to 1.25px
Bounding Box: Noise: Up to 1% of pixels

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