Dataset Versions

v21

2022-08-02 3:42am

Generated on Aug 2, 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 89%
1023Images
Valid Set 7%
84Images
Test Set 4%
43Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Hue: Between -180° and +180°
Saturation: Between -36% and +36%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1px

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