| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_1b7f256120987bf27c3ede373cf60735 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-8887
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30148
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30141
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-8854 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2413
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-8851
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6267
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-443
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-764
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-001 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-44
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
| filingDate |
2020-05-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2022-08-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_01b313870fb26665ae481eae0357a23a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_95d6bf7a172b4ad0c3b680e8881023ba
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_dfab43b0b1aa481b8ec1f51d3f58d119 |
| publicationDate |
2022-08-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-11423531-B2 |
| titleOfInvention |
Image-recognition apparatus, image-recognition method, and non-transitory computer-readable storage medium thereof |
| abstract |
An image-recognition method is provided. The method includes the following steps: receiving a plurality of check-point images, and classifying the check-point images into a plurality of groups; classifying the check-point images in each group into a plurality of types to generate first structured data, wherein the first structured data includes a first layer and a second layer, and the first layer indicates the groups in different statuses, the second layer is located with directories of the first layer, and the types in each group of the second layer indicate different components in a status corresponding to each group; and balancing a number of the check-point images in each type of each group in the first structured data to generate second structured data, wherein the second structured data is used to train an AI model for image recognition. |
| priorityDate |
2019-07-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |