Dataset Versions

v2

2022-07-06 4:10pm

Generated on Jul 6, 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 87%
321Images
Valid Set 8%
31Images
Test Set 4%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 500x500
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Brightness: Between -29% and +29%
Exposure: Between -12% and +12%

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