Models and Features inherent the manuscript "On the Efficacy of Handcrafted and Deep Features for Seed Images Classification"
Here, you can find the models, features and material used in the manuscript indicated above.
Authors, releasers and maintainers: Dr. Andrea Loddo, Prof. Cecilia Di Ruberto - University of Cagliari
NOTE: please cite one of the following pubblication in case of using these images in your own work:
@Article{Loddo2021JI, AUTHOR = {Loddo, Andrea and Di Ruberto, Cecilia}, TITLE = {On the Efficacy of Handcrafted and Deep Features for Seed Image Classification}, JOURNAL = {Journal of Imaging}, VOLUME = {7}, YEAR = {2021}, NUMBER = {9}, ARTICLE-NUMBER = {171}, URL = {https://www.mdpi.com/2313-433X/7/9/171}, PubMedID = {34564097}, ISSN = {2313-433X}, DOI = {10.3390/jimaging7090171} }
@article{Loddo2021CEA, title = {A novel deep learning based approach for seed image classification and retrieval}, journal = {Computers and Electronics in Agriculture}, volume = {187}, pages = {106269}, year = {2021}, issn = {0168-1699}, doi = {https://doi.org/10.1016/j.compag.2021.106269}, url = {https://www.sciencedirect.com/science/article/pii/S0168169921002866}, author = {Andrea Loddo and Mauro Loddo and Cecilia {Di Ruberto}} }
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