Dataset Versions

v3

2022-11-25 1:09am

Generated on Nov 25, 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.
Other Formats
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Dataset Split

Train Set 88%
75Images
Valid Set 5%
4Images
Test Set 7%
6Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 32% of images
Hue: Between -50° and +50°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Blur: Up to 4.25px
Noise: Up to 1% of pixels

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