Dataset Versions

v2

ver1111

Generated on May 18, 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 94%
23733Images
Valid Set 5%
1205Images
Test Set 1%
189Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 4% of images
Brightness: Between -5% and +5%
Exposure: Between -8% and +8%
Noise: Up to 1% of pixels

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