We need an expert to help us with an image classification task.
We have a vast dataset and need to write a classifier that can be used to predict the class of the image. We currently work with ~20 different classes on a dataset of ~100,000 images.
Each data point is a string (The name of the class) and a list of lists depicting the grey values of the image.
The images have different dimensions, so we need a good strategy to normalize the dataset without loosing much information.
We are looking for an expert that has proven experience with CNNs and similar datasets who can help us implement the classifier in PyTorch.
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