Dataset Versions

v7

FinalVersion

Generated on Nov 4, 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.
Other Formats
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Dataset Split

Train Set 84%
1647Images
Valid Set 9%
176Images
Test Set 7%
144Images

Preprocessing

Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -6% and +6%
Blur: Up to 1.75px
Bounding Box: Blur: Up to 10px

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