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Visual-based Plant Species Identification from Crowdsourced Data

机译:基于视觉的植物物种占有众包数据

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摘要

This demo presents a crowdsourcing web application dedicated to the access of botanical knowledge through automated identification of plant species by visual content. Inspired by citizen sciences, our aim is to speed up the collection and integration of raw botanical observation data, while providing to potential users an easy and efficient access to this botanical knowledge. The result presented during the demo is an enjoying application where anyone can play to shoot fresh cut leaves and observe the relevance of species suggested in spite of various visual difficult queries.
机译:该演示通过视觉内容自动识别植物物种,呈现出专用于植物知识的众群网站应用。灵感来自公民科学,我们的目标是加快原始植物观测数据的收集和整合,同时为潜在用户提供对这种植物知识的简单有效地访问。在演示期间提出的结果是一个享有的应用程序,在那里任何人都可以玩射击新鲜切割的叶子,并观察物种的相关性尽管各种视觉困难疑问。

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