Dataset Versions

v10

2023-12-25 7:06pm

Generated on Dec 25, 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%
8614Images
Valid Set 12%
1230Images
Test Set 6%
617Images

Preprocessing

Static Crop: 25-94% Horizontal Region, 14-82% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Saturation: Between -60% and +60%
Brightness: Between -50% and +50%
Blur: Up to 1.5px
Noise: Up to 4% of pixels

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