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Average Model Cost: $0.0248

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The object-removal model is a deep learning model that is trained to remove specific objects from an image. The model takes an input image and a mask that specifies the objects to be removed, and then generates an output image with those objects removed. It uses an image-to-image translation approach, where it learns to map the input image and mask to the desired output image through a training process using a large dataset of paired input-output images. The model uses a convolutional neural network architecture, and is trained using a combination of supervised and unsupervised learning techniques.

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