Dataset Versions

v5

2024-03-12 6:59pm

Generated on Mar 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.
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Dataset Split

Train Set 100%
8487Images
Valid Set 0%
23Images
Test Set 0%
12Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between 0% and +22%
Noise: Up to 1.8% of pixels

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