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SAM is a deep learning model (transformer based). When we give an image as input to the Segment Anything Model, it first passes through an image encoder and produces a one-time embedding for the entire image. The downsampling happens using 2D convolutional layers. Then the model concatenates it with the image embedding to get the final vector.
End-to-end model pipeline consisting of classification and segmentation models to classify crop diseases with high certainty. Focus on production and real-life scenarios.