Dataset for semantic segmentation of the laboratory model of manufacturing environment (Version 0.1.0)
Апстракт
This dataset includes images and labels used for semantic segmentation of the laboratory model of the manufacturing environment, at the University of Belgrade - Faculty of Mechanical Engineering. The dataset is gathered by using mobile robot RAICO (Robot with Artificial Intelligence based COgnition) and its stereo visual system made from two Basler acA1920-25uc cameras with Fujinon lens DF6HA-1B. The dataset includes close to 430 images with a resolution of 640x360. Images are acquired by both cameras at different mobile robot poses in the laboratory model of a manufacturing environment. Five classes are introduced in the dataset, machines 1 to 4, and a background class. The exact names of the classes are:
classNames = ["Machine_1", "Machine_2", "Machine_3", "Machine_4", "Background"];
while the labels of the classes (RGB values of label images) are:
labelIDs = [ ...
000 000 255; ... % "Machine 1"
000 255 255; ... % "Machine 2"
255 255 000; ... % "Machine 3"
... 255 000 000; ... % "Machine 4"
255 255 255; ... % "Background"
];
Image and label pairs are entitled 1 to 430, and e.g. label 5 corresponds to images 5.
Кључне речи:
Semantic Segmentation / Deep learning / Mobile robots / Vision systemsИзвор:
Zenodo, 2020Финансирање / пројекти:
- MISSION4.0 - Deep Machine Learning and Swarm Intelligence-Based Optimization Algorithms for Control and Scheduling of Cyber-Physical Systems in Industry 4.0 (RS-ScienceFundRS-AI-6523109)
Колекције
Институција/група
Mašinski fakultetTY - DATA AU - Jokić, Aleksandar AU - Petrović, Milica AU - Miljković, Zoran PY - 2020 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4294 AB - This dataset includes images and labels used for semantic segmentation of the laboratory model of the manufacturing environment, at the University of Belgrade - Faculty of Mechanical Engineering. The dataset is gathered by using mobile robot RAICO (Robot with Artificial Intelligence based COgnition) and its stereo visual system made from two Basler acA1920-25uc cameras with Fujinon lens DF6HA-1B. The dataset includes close to 430 images with a resolution of 640x360. Images are acquired by both cameras at different mobile robot poses in the laboratory model of a manufacturing environment. Five classes are introduced in the dataset, machines 1 to 4, and a background class. The exact names of the classes are: classNames = ["Machine_1", "Machine_2", "Machine_3", "Machine_4", "Background"]; while the labels of the classes (RGB values of label images) are: labelIDs = [ ... 000 000 255; ... % "Machine 1" 000 255 255; ... % "Machine 2" 255 255 000; ... % "Machine 3" 255 000 000; ... % "Machine 4" 255 255 255; ... % "Background" ]; Image and label pairs are entitled 1 to 430, and e.g. label 5 corresponds to images 5. T2 - Zenodo T1 - Dataset for semantic segmentation of the laboratory model of manufacturing environment (Version 0.1.0) DO - 10.5281/zenodo.4138944 ER -
@misc{ author = "Jokić, Aleksandar and Petrović, Milica and Miljković, Zoran", year = "2020", abstract = "This dataset includes images and labels used for semantic segmentation of the laboratory model of the manufacturing environment, at the University of Belgrade - Faculty of Mechanical Engineering. The dataset is gathered by using mobile robot RAICO (Robot with Artificial Intelligence based COgnition) and its stereo visual system made from two Basler acA1920-25uc cameras with Fujinon lens DF6HA-1B. The dataset includes close to 430 images with a resolution of 640x360. Images are acquired by both cameras at different mobile robot poses in the laboratory model of a manufacturing environment. Five classes are introduced in the dataset, machines 1 to 4, and a background class. The exact names of the classes are: classNames = ["Machine_1", "Machine_2", "Machine_3", "Machine_4", "Background"]; while the labels of the classes (RGB values of label images) are: labelIDs = [ ... 000 000 255; ... % "Machine 1" 000 255 255; ... % "Machine 2" 255 255 000; ... % "Machine 3" 255 000 000; ... % "Machine 4" 255 255 255; ... % "Background" ]; Image and label pairs are entitled 1 to 430, and e.g. label 5 corresponds to images 5.", journal = "Zenodo", title = "Dataset for semantic segmentation of the laboratory model of manufacturing environment (Version 0.1.0)", doi = "10.5281/zenodo.4138944" }
Jokić, A., Petrović, M.,& Miljković, Z.. (2020). Dataset for semantic segmentation of the laboratory model of manufacturing environment (Version 0.1.0). in Zenodo. https://doi.org/10.5281/zenodo.4138944
Jokić A, Petrović M, Miljković Z. Dataset for semantic segmentation of the laboratory model of manufacturing environment (Version 0.1.0). in Zenodo. 2020;. doi:10.5281/zenodo.4138944 .
Jokić, Aleksandar, Petrović, Milica, Miljković, Zoran, "Dataset for semantic segmentation of the laboratory model of manufacturing environment (Version 0.1.0)" in Zenodo (2020), https://doi.org/10.5281/zenodo.4138944 . .