BrRacemeCounter: Mask R-CNN for Raceme Instance Segmentation
| cg.authorship.types | CGIAR single centre | en_US |
| cg.contributor.donor | CGIAR Trust Fund | en_US |
| cg.contributor.initiative | Accelerated Breeding | en_US |
| cg.contributor.initiative | Livestock and Climate | en_US |
| cg.contributor.initiative | Sustainable Animal Productivity | en_US |
| cg.coverage.country | Colombia | en_US |
| cg.coverage.iso3166-alpha2 | CO | en_US |
| cg.coverage.region | Americas | en_US |
| cg.coverage.region | South America | en_US |
| cg.coverage.region | Latin America and the Caribbean | en_US |
| cg.creator.identifier | Darwin Alexis Arrechea-Castillo: 0000-0002-2395-2181 | en_US |
| cg.creator.identifier | Juan Andrés Cardoso Arango: 0000-0002-0252-4655 | en_US |
| cg.identifier.url | https://github.com/darwin-arrechea-castillo/Mask_RCNN-Raceme_Instance_Segmentation | en_US |
| cg.subject.actionArea | Resilient Agrifood Systems | en_US |
| cg.subject.alliancebiovciat | AGRICULTURE | en_US |
| cg.subject.alliancebiovciat | PLANT BREEDING | en_US |
| cg.subject.alliancebiovciat | TROPICAL FORAGES | en_US |
| cg.subject.impactArea | Nutrition, health and food security | en_US |
| cg.subject.sdg | SDG 2 - Zero hunger | en_US |
| dc.contributor.author | Arrechea-Castillo, Darwin Alexis | en_US |
| dc.contributor.author | Cardoso Arango, Juan Andres | en_US |
| dc.date.accessioned | 2024-12-24T05:15:27Z | en_US |
| dc.date.available | 2024-12-24T05:15:27Z | en_US |
| dc.identifier.uri | https://hdl.handle.net/10568/168316 | en_US |
| dc.title | BrRacemeCounter: Mask R-CNN for Raceme Instance Segmentation | en_US |
| dcterms.abstract | This is an adapted implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet50 or ResNet101 backbone. This project detects and count the total amount of racemes in tropical forages (Urochloa spp.) throught an web or a desktop based application | en_US |
| dcterms.accessRights | Open Access | en_US |
| dcterms.bibliographicCitation | Arrechea-Castillo, D.A.; Cardoso Arango, J.A. (2024) BrRacemeCounter: Mask R-CNN for Raceme Instance Segmentation. | en_US |
| dcterms.issued | 2024-12-19 | en_US |
| dcterms.language | en | en_US |
| dcterms.license | MIT | en_US |
| dcterms.subject | machine learning | en_US |
| dcterms.subject | imagery-computer vision | en_US |
| dcterms.subject | racemes | en_US |
| dcterms.type | Software | en_US |