Data from: Multi-Source Feature Fusion for Object Detection Association in Connected Vehicle Environments
Owning Institution: UC San Diego, Research Data Curation Program
About this Collection
This dataset contains virtual and real-world examples of object detection association in connected vehicle environments. The main object class that is represented in this dataset is vehicles and these represent the majority of samples within the dataset, though some other classes such as motorcycles, bicycles, trucks, and buses are also present in the dataset. The image data are RoI images produced by a machine learning object detector; every pair of images for each timestep is assigned a positive label ("1") if both RoI images are of the same vehicle, otherwise a negative association label ("0") is assigned to the image pair. View this collection on the contributor's website.View our statement on digital primary resources and historical description.
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