Dataset Versions

v6

2022-05-02 11:05am

Generated on May 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 82%
1311Images
Valid Set 10%
160Images
Test Set 8%
120Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 9 remapped, 2 dropped
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels

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