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These datasets are used for machinelearning research and have been cited in peerreviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, lessintuitively, the availability of highquality training datasets.
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Introduction: Plant Phenotyping Datasets. We present a collection of benchmark datasets in the context of plant phenotyping. We provide annotated imaging data and suggest suitable evaluation criteria for plant/leaf segmentation, detection, tracking as well as classification and regression problems.
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Sep 22, 2016· Dataset description. We analyze 54,306 images of plant leaves, which have a spread of 38 class labels assigned to them. Each class label is a cropdisease pair, and we make an attempt to predict the cropdisease pair given just the image of the plant leaf.
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Plant image identification has become an interdisciplinary focus in both botanical taxonomy and computer vision. The first plant image dataset collected by mobile phone in natural scene is presented, which contains 10,000 images of 100 ornamental plant species in Beijing Forestry University campus. A 26layer deep learning model consisting of 8 residual building blocks is designed for large ...
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