Dataset Versions

v3

2022-07-26 10:47am

Generated on Jul 26, 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.
Other Formats
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Dataset Split

Train Set 83%
8922Images
Valid Set 9%
1006Images
Test Set 7%
768Images

Preprocessing

Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 1px

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