Dataset Versions

v2

RELEASE

Generated on Jul 4, 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.
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Dataset Split

Train Set 90%
15882Images
Valid Set 8%
1345Images
Test Set 2%
339Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 7 remapped, 3 dropped

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Brightness: Between -32% and +32%
Blur: Up to 4.5px

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