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The global economy is in the middle of a glow-up, and the fuel isn’t oil barrels or factory floors, it’s raw, restless data. Every digital interaction.

Abstract: With the significant increase in open spatial datasets, there is a growing need to search for datasets that meet users’ requirements for decision-making and machine learning. This has become ...

Abstract: Exploring emotional nuances like joy, sadness, anger, and surprise in text data poses one of the most challenging problems in Natural Language Processing. Coupled with limited annotated ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Thank you for your excellent open-source work. I would like to train and validate occupancy algorithms based on the ORAD-3D dataset, and I was wondering if you could provide some guidance on the data ...