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Fig. 4 | Plant Methods

Fig. 4

From: Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature

Fig. 4

Calculating the IoU between binarized ground truth and prediction: a chalky seed; b corresponding ground truth chalkiness area; c binarized ground truth area; d predicted chalkiness area; e corresponding predicted binarized area; f intersection between the binarized ground truth (c) and prediction (e): the number of white pixels in the intersection is 5167; g union between the binarized ground truth (c) and prediction (e): the number of white pixels in the union is 6370; h Calculation of IoU

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Plant Methods

ISSN: 1746-4811