📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! Tell us what works, what doesn't, and how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community. Please send your feedback to gateway@ukri.org by 11 August 2025.

Insect Identification in the Wild: The AMI Dataset

First Author: Jain A

Attributed to: Easy RIDER: Real-time IDentification for Ecological Research and Monitoring funded by NERC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-031-72913-3_4

Publication URI: http://dx.doi.org/10.1007/978-3-031-72913-3_4

Type: Book Chapter

Book Title: Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXVII (2025)

Page Reference: 55-73