Dataset Versions

v1

2023-07-13 11:06pm

Generated on Jul 13, 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 100%
492Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Shear: ±45° Horizontal, ±45° Vertical
Saturation: Between -47% and +47%
Brightness: Between -41% and +41%
Exposure: Between -36% and +36%
Blur: Up to 8px
Noise: Up to 5% of pixels

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