Dataset Versions

v4

2024-02-29 9:07am

Generated on Feb 29, 2024

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 86%
138Images
Valid Set 9%
15Images
Test Set 4%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Blur: Up to 2.5px
Noise: Up to 0.54% of pixels

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