Dataset Versions

v9

2024-05-12 7:05pm

Generated on May 12, 2024

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 88%
306Images
Valid Set 8%
28Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -5° and +5°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 1.96% of pixels
Cutout: 2 boxes with 8% size each
Bounding Box: Blur: Up to 1.1px

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