Dataset Versions

v5

2024-03-02 5:42pm

Generated on Mar 2, 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 90%
732Images
Valid Set 2%
19Images
Test Set 8%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080

Augmentations

Outputs per training example: 3
90° Rotate: Upside Down
Grayscale: Apply to 5% of images
Exposure: Between -5% and +5%
Noise: Up to 0.54% of pixels

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