A real-world image dataset that contains more than 900 images generated from 26 street cameras and 7 object categories annotated with detailed bounding box. The data distribution is non-IID and unbalanced, reflecting the characteristic real-world federated learning scenarios.
Source: Real-World Image Datasets for Federated LearningPaper | Code | Results | Date | Stars |
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