图像分类在路易斯安那州咸水鱼类识别中的应用

Nibha Manandhar, John W. Burris
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引用次数: 3

摘要

鱼类识别对休闲垂钓者来说是一个挑战,但对渔业管理至关重要。路易斯安那州目前提供鱼类种类的印刷插图,作为垂钓者识别鱼类过程的唯一辅助工具。这项工作描述了谷歌的TensorFlow机器学习库在鱼类识别任务中的应用,作为图像分类能力应用的案例研究。我们描述了项目的实施和结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Application of Image Classification to Saltwater Fish Identification in Louisiana Fisheries
Fish identification is a challenge to recreational anglers, but critically important to the management of fisheries. The state of Louisiana currently provides printed illustrations of species as the sole aid to anglers for the process of fish identification. This work describes the application of Google's TensorFlow machine learning library to the task of fish identification as a case study on the application of the image classification capabilities. We describe the implementation and results of the project.
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