Tran, Tommy; Xu, Yingfu; Guido de Croon (2022): Data underlying the publication: "Semantic Segmentation using Deep Neural Networks for MAVs". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19042235.v1

Dataset

x choose version: version 2 - 2022-02-28 (latest)

• Artificial Intelligence and Image Processing

Computer Vision, Convolutional Neural Network, Deep Learning, Micro Air Vehicle (MAV), Optical Flow, Semantic Segmentation

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Tommy Tran , Yingfu Xu , Guido de Croon

The dataset used for the experiments presented in the paper "Semantic Segmentation using Deep Neural Networks for MAVs". The data was recorded in the CyberZoo test arena at the Faculty of Aerospace Engineering at TU Delft.
The dataset consists of RGB images of racing gates, segmentation masks, and optical flow maps.

• 2022-01-25 first online, published, posted

4TU.ResearchData

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• http://resolver.tudelft.nl/uuid%3A7735d01c-b4cd-4173-a584-652f269c078c

TU Delft, Faculty of Aerospace Engineering, Micro Air Vehicle Lab (MAVLAB)