Dataset Versions

v16

2023-09-18 2:23pm

Generated on Sep 18, 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 91%
672Images
Valid Set 6%
47Images
Test Set 2%
18Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 9.75px
Noise: Up to 7% of pixels
Bounding Box: Blur: Up to 4px
Bounding Box: Noise: Up to 4% of pixels

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