Dataset Versions

v2

2023-05-23 4:18pm

Generated on May 23, 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 87%
3251Images
Valid Set 4%
160Images
Test Set 9%
320Images

Preprocessing

Auto-Orient: Applied
Static Crop: 9-96% Horizontal Region, 12-85% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Bounding Box: Brightness: Between -5% and +5%

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