FIELD: generating images.
SUBSTANCE: initial training of the neural network and text marking of elements in the image is done by loading a dataset from several images of one element, whereas connections with the ontology are built; images are fed to the input of the CLIP neural network for marking, where parallel analysis of the image and text description is carried out, due to which a feature vector is created; the downloaded images are analysed by segmenting the image in several iterations, by highlighting large objects; a mask with a segmented image is formed; classification of selected objects is carried out using a neural network; in parallel with the identification of objects, image tagging is carried out; at the final stage, images are generated based on an existing library of images, and each image is equipped with a set of tags that determine the possibility of its use in a specific composition.
EFFECT: improvement of quality of image generation.
1 cl, 6 dwg
| Title | Year | Author | Number |
|---|---|---|---|
| IMAGE RECOGNITION SYSTEM: BEORG SMART VISION | 2020 |
|
RU2777354C2 |
| SYSTEM FOR SUPPORTING MEDICAL DECISION-MAKING | 2020 |
|
RU2752792C1 |
| RECOGNITION OF EVENTS ON PHOTOGRAPHS WITH AUTOMATIC SELECTION OF ALBUMS | 2020 |
|
RU2742602C1 |
| METHOD FOR GENERATING MATHEMATICAL MODELS OF A PATIENT USING ARTIFICIAL INTELLIGENCE TECHNIQUES | 2017 |
|
RU2720363C2 |
| METHOD AND SYSTEM FOR SUPPORTING MEDICAL DECISION MAKING USING MATHEMATICAL MODELS OF PRESENTING PATIENTS | 2017 |
|
RU2703679C2 |
| METHOD FOR OBTAINING LOW-DIMENSIONAL NUMERIC REPRESENTATIONS OF SEQUENCES OF EVENTS | 2020 |
|
RU2741742C1 |
| METHOD OF SEARCHING FOR THERAPEUTICALLY SIGNIFICANT MOLECULAR TARGETS FOR DISEASES BY APPLYING MACHINE LEARNING METHODS TO COMBINED DATA INCLUDING SIGNALING PATHWAY GRAPHS, OMIX AND TEXT DATA TYPES | 2022 |
|
RU2798897C1 |
| METHOD AND SYSTEM FOR CLASSIFYING DATA FOR IDENTIFYING CONFIDENTIAL INFORMATION IN THE TEXT | 2019 |
|
RU2755606C2 |
| METHOD OF TEXT GENERATION BASED ON MACHINE LEARNING | 2023 |
|
RU2821835C1 |
| DIGITAL COMPUTER-IMPLEMENTED PLATFORM FOR CREATING MEDICAL APPLICATIONS USING ARTIFICIAL INTELLIGENCE AND METHOD OF OPERATION THEREOF | 2020 |
|
RU2742261C1 |
