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工厂细分

工厂细分

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Business,Earth and Nature,Biology Classification

数据结构 ? 750.31M

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    README.md

    # A semantic segmentation dataset for plant phenotyping This dataset is the accompanying dataset for the paper [A deep learning-based approach for high-throughput hypocotyl phenotyping](https://www.biorxiv.org/content/10.1101/651729v1). ## The dataset This semantic segmentation dataset contains images of plant seedlings from three species (*Arabidopsis thaliana*, *Brachypodium distachyon* and *Sinapis alba*), with each seedling subdivided into two parts: hypocotyl and non-hypocotyl. In plant biology, hypocotyl measurements are used to answer several interesting questions. However, to precisely measure a plant, the non-hypocotyl parts in the seedling should not be taken into account. ## Format Each folder contains images taken from seedlings belonging to a specific species. The *images* folder contains the RGB images themselves in *.png* format, while the corresponding file in the *masks* folder contains the label-encoded image in a 8-bit *.png*, with the following labels: 0. background 1. hypocotyl 2. non-hypocotyl
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