Dataset Versions

v7

2024-07-11 8:14am

Generated on Jul 11, 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.
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Dataset Split

Train Set 88%
10992Images
Valid Set 8%
1034Images
Test Set 4%
526Images

Preprocessing

Resize: Stretch to 100x100
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.4px
Noise: Up to 0.3% of pixels

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