Dataset Versions

v5

2023-10-10 12:33pm

Generated on Oct 10, 2023

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 89%
669Images
Valid Set 8%
58Images
Test Set 4%
27Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 50% of images
Hue: Between -49° and +49°
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Noise: Up to 2% of pixels

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