Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
About this item
Full title
Author / Creator
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
In precision agriculture, the detection and recognition of insects play an essential role in the ability of crops to grow healthy and produce a high-quality yield. The current machine vision model requires a large volume of data to achieve high performance. However, there are approximately 5.5 million different insect species in the world. None of...
Alternative Titles
Full title
Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2894583013
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2894583013
Other Identifiers
E-ISSN
2331-8422
