Image Classification Model Development

CONTEXT
You are tasked with developing an image classification model that can accurately identify objects in images. You have access to a labeled dataset of images for training and evaluation.

OBJECTIVE
To create a machine learning model that achieves high accuracy in classifying images into predefined categories. The model should be robust and able to generalize well to unseen data.

FORMAT
Provide a step-by-step outline detailing the machine learning pipeline, including data preprocessing, model selection, training, evaluation, and deployment strategies.

EXAMPLES
Describe the use of convolutional neural networks (CNNs) for image classification, including considerations for hyperparameter tuning and model validation techniques.