Pascal VOC

doi:doi:10.57702/fji71aj6

Pascal VOC

Semantic segmentation is a crucial and challenging task for image understanding. It aims to predict a dense labeling map for the input image, which assigns each pixel a unique category label.

BibTex:

@dataset{Mark_Everingham_and_Luc_Van_Gool_and_Christopher_KI_Williams_and_John_Winn_and_Andrew_Zisserman_2024,
    abstract = {Semantic segmentation is a crucial and challenging task for image understanding. It aims to predict a dense labeling map for the input image, which assigns each pixel a unique category label.},
    author = {Mark Everingham and Luc Van Gool and Christopher KI Williams and John Winn and Andrew Zisserman},
    doi = {10.57702/fji71aj6},
    institution = {No Organization},
    keyword = {'20 Classes', '3D reconstruction', 'Dataset', 'Image Classification', 'Image Dataset', 'Image Processing', 'Image Segmentation', 'Image classification', 'Instance Segmentation', 'Object Detection', 'Object detection', 'Pascal VOC', 'Semantic Segmentation', 'VOC', 'articulated objects', 'benchmark', 'image classification', 'image labeling', 'image segmentation', 'image transmission', 'instance segmentation', 'object detection', 'object segmentation', 'semantic communication', 'semantic segmentation'},
    month = {nov},
    publisher = {TIB},
    title = {Pascal VOC},
    url = {https://service.tib.eu/ldmservice/dataset/pascal-voc},
    year = {2024}
}