Dataset Versions

v8

V6-MIX

Generated on Aug 30, 2021

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 85%
609Images
Valid Set 10%
71Images
Test Set 5%
35Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-73% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Brightness: Between -5% and +5%
Blur: Up to 0.25px

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