Dataset Versions

v2

2023-12-27 5:45pm

Generated on Dec 27, 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.
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Dataset Split

Train Set 82%
248Images
Valid Set 12%
36Images
Test Set 6%
18Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Dynamic Crop: Class: BUS
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px

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