Dataset Versions

v2

vire-v2

Generated on Mar 21, 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 88%
18612Images
Valid Set 9%
1864Images
Test Set 4%
763Images

Preprocessing

Isolate Objects: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels

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