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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
GitHub

i2Nav-Robot: A Large-Scale Indoor-Outdoor Robot Dataset for Multi-Sensor Fusion Navigation and Mapping

The Intelligent and Integrated Navigation (i2Nav) group from the GNSS Research Center, Wuhan University, open source a versatile robot dataset, named i2Nav-Robot. This dataset is collected by a ...
IEEE

Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging

Abstract: Multi-graph matching is an important problem in computer vision. Our task comes from bioimaging, where a set of 100 3D-microscopic images of worms have to be brought into correspondence.
IEEE

Towards Robust Overhead Power Transmission System Condition Monitoring: A Large-Scale Dataset and Novel Image Dehazing Approach

Abstract: In hazy weather with high humidity, insulators in overhead transmission lines are prone to flashover. However, fog reduces the sensitivity of image detection, which is a commonly used method ...