Dataset Versions

v1

2022-07-07 1:12pm

Generated on Jul 7, 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 88%
707Images
Valid Set 8%
67Images
Test Set 4%
34Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Saturation: Between -50% and +50%

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