Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Accurate, controllable and multi-modal input road disease data set expansion method
The invention discloses an accurate, controllable and multi-modal input road disease data set expansion method, which can generate corresponding high-quality road disease pictures and annotation data according to the requirements of specified data set formats, disease types, generation positions and the like based on multi-modal input such as texts or sample pictures, and can be used for expanding the road disease data set. And quickly expanding the road disease data set. The generated high-resolution disease image can capture the diversity and details of road diseases, the sense of reality is high, and the cost of collecting a large number of real pictures when a data set is constructed is reduced; according to the technical scheme, when the high-quality disease picture is generated, detection labeling information or segmentation labeling information corresponding to the generated picture can be provided according to specified position information, a data set format and other fine customization requirements, and the manual labeling cost of a data set is reduced; the generated data set also provides a solution thought for the problem that enough real samples of some scarce diseases are difficult to collect.
本发明公开了一种精准可控和多模态输入的道路病害数据集扩充方法，能够基于文本或样例图片等多模态输入，按照指定的数据集格式、病害类型以及生成位置等需求，生成相应的高质量道路病害图片和标注数据，对道路病害数据集进行快速扩充。生成的高分辨率病害图像能够捕捉到道路病害的多样性和细节，具有较强的真实感，降低了构建数据集时大量采集真实图片的成本；生成高质量病害图片的同时，还能够根据指定的位置信息、数据集格式等精细的定制化需求，提供与生成图片对应的检测标注信息或者分割标注信息，降低了数据集的人工标注成本；生成数据集还为某些稀缺病害难以采集到足够真实样本的难题提供了解决思路。
Accurate, controllable and multi-modal input road disease data set expansion method
The invention discloses an accurate, controllable and multi-modal input road disease data set expansion method, which can generate corresponding high-quality road disease pictures and annotation data according to the requirements of specified data set formats, disease types, generation positions and the like based on multi-modal input such as texts or sample pictures, and can be used for expanding the road disease data set. And quickly expanding the road disease data set. The generated high-resolution disease image can capture the diversity and details of road diseases, the sense of reality is high, and the cost of collecting a large number of real pictures when a data set is constructed is reduced; according to the technical scheme, when the high-quality disease picture is generated, detection labeling information or segmentation labeling information corresponding to the generated picture can be provided according to specified position information, a data set format and other fine customization requirements, and the manual labeling cost of a data set is reduced; the generated data set also provides a solution thought for the problem that enough real samples of some scarce diseases are difficult to collect.
本发明公开了一种精准可控和多模态输入的道路病害数据集扩充方法，能够基于文本或样例图片等多模态输入，按照指定的数据集格式、病害类型以及生成位置等需求，生成相应的高质量道路病害图片和标注数据，对道路病害数据集进行快速扩充。生成的高分辨率病害图像能够捕捉到道路病害的多样性和细节，具有较强的真实感，降低了构建数据集时大量采集真实图片的成本；生成高质量病害图片的同时，还能够根据指定的位置信息、数据集格式等精细的定制化需求，提供与生成图片对应的检测标注信息或者分割标注信息，降低了数据集的人工标注成本；生成数据集还为某些稀缺病害难以采集到足够真实样本的难题提供了解决思路。
Accurate, controllable and multi-modal input road disease data set expansion method
一种精准可控和多模态输入的道路病害数据集扩充方法
WANG JINGJING (Autor:in) / XIE WENLI (Autor:in) / TANG LUKAI (Autor:in) / HUANG MINGLIANG (Autor:in) / WANG BISHEN (Autor:in)
03.05.2024
Patent
Elektronische Ressource
Chinesisch
IPC:
G06V
/
E01C
Bau von Straßen, Sportplätzen oder dgl., Decken dafür
,
CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
/
G06T
Bilddatenverarbeitung oder Bilddatenerzeugung allgemein
,
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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