Dataset Versions

v4

2022-03-12 8:51pm

Generated on Mar 12, 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 90%
423Images
Valid Set 6%
30Images
Test Set 3%
15Images

Preprocessing

Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 3.25px

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