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LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges

机译:Lifeclef 2021预告片:生物多样性识别和预测挑战

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Building accurate knowledge of the identity, the geographic distribution and the evolution of species is essential for the sustainable development of humanity, as well as for biodiversity conservation. However, the difficulty of identifying plants and animals in the field is hindering the aggregation of new data and knowledge. Identifying and naming living plants or animals is almost impossible for the general public and is often difficult even for professionals and naturalists. Bridging this gap is a key step towards enabling effective biodiversity monitoring systems. The LifeCLEF campaign, presented in this paper, has been promoting and evaluating advances in this domain since 2011. The 2021 edition proposes four data-oriented challenges related to the identification and prediction of biodiversity: (ⅰ) PlantCLEF: cross-domain plant identification based on herbarium sheets, (ⅱ) BirdCLEF: bird species recognition in audio soundscapes, (ⅲ) GeoLifeCLEF: location-based prediction of species based on environmental and occurrence data and (ⅳ) Snake-CLEF: image-based snake identification.
机译:建立准确了解身份,地理分布和物种的演化对于人类可持续发展以及生物多样性保护至关重要。然而,识别该领域中的植物和动物的难度正在阻碍新数据和知识的聚合。识别和命名生活植物或动物几乎不可能对公众几乎不可能,并且甚至对于专业人士和博士学位甚至难以。桥接这种差距是实现有效生物多样性监测系统的关键步骤。本文提出的Lifeclef广告系列一直在推广和评估此领域的进步.2021版提出了与生物多样性的识别和预测有关的四种数据导向挑战:(Ⅰ)Plantclef:基于跨域工厂识别在植物标料上,(Ⅱ)Birdclef:鸟类在音频声音中的识别,(Ⅲ)Geolifeclef:基于环境和发生数据的物种的位置预测,(ⅳ)蛇谱图:基于图像的蛇识别。

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