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What is SODA: Construction Object Detection Dataset about?

This document introduces SODA, a large-scale open dataset of over 20,000 images collected from multiple construction sites. The images were annotated with 15 object classes categorized as worker, material, machine, and layout. Statistical analysis shows the dataset has good diversity and volume. Evaluation of two deep learning object detection algorithms on the dataset achieved a maximum mean average precision of 81.47%, illustrating the feasibility of the dataset for construction object detection. The data

Author

weran54885

Language

EN