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Status: Unchecked ×Topic: Smart Agriculture and AI ×Clear all

1 claim from 1 paper

1. Agricultural and Biological Sciences › Smart Agriculture and AI

   YOLOv5-Tassel: Detecting Tassels in RGB UAV Imagery With Improved YOLOv5 Based on Transfer Learning

   Liu, Quijano and Crawford · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2022

   The authors propose YOLOv5-Tassel, an improved object detector for finding maize tassels in drone RGB images, using extra network components and transfer learning to cope with small objects and limited data.

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   1. UncheckedThe proposed YOLOv5-Tassel method reached a mAP of 44.7% in tests, which the authors say beats FCOS, RetinaNet and standard YOLOv5 at detecting maize tassels.“Testing results for our proposed YOLOv5-tassel method achieved the mAP value of 44.7%, which is better than well-known object detection approaches, such as FCOS, RetinaNet, and YOLOv5.”