Dataset Versions

v4

Dataset-290

Generated on Apr 23, 2024

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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%
609Images
Valid Set 8%
58Images
Test Set 4%
29Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1024x1024
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Vertical
Blur: Up to 2.5px
Noise: Up to 0.3% of pixels

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