image segmentation before image classification when the background is noisy (PlantCLEF2015 dataset)

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I am trying to perform a classification task on the PlantCLEF2015 images. However, since some of the images have super noisy backgrounds, I was wondering maybe I should first segment my plant of interest out of the image and then run it through the classifier.

I am attaching two random images from the dataset to show how noisy the background could be.

first image / second image

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