http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113688939-A
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_6c6d22af4bf4e1b2205a929549da46d3 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-46 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
filingDate | 2021-09-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c34ee67dac84f31490654008656eb9ef http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a2c83aecc8a696c76b578e3f88b28014 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1fe719be7c47190183fc6ae1370089b8 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fcecc069efbab853df2ff37915276547 |
publicationDate | 2021-11-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-113688939-A |
titleOfInvention | Pollen activity identification model training method and system, and identification method and system |
abstract | The invention relates to a pollen activity identification model training method and system. A training data set is first obtained, and the training data set includes a plurality of pollen dyeing pictures for training. A recognition model to be trained is then established, and the recognition model to be trained is a target detection model. Finally, the training data set is used to train the recognition model to be trained, and the recognition model is obtained. The present invention also provides a pollen activity identification method and system, which obtains the pollen dyeing picture to be identified, and then uses the pollen dyeing picture to be identified as input, uses the identification model obtained by the above training method to identify the pollen dyeing picture to be identified, and obtains pollen activity data , and then the trained recognition model can be used to automatically recognize the pollen dyed pictures to be recognized, improve the recognition speed and recognition efficiency, and avoid the time-consuming and labor-intensive problems caused by manual counting. |
isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116012838-A |
priorityDate | 2021-09-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 27.