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In this tutorial by Evan from Edge Electronics, viewers will learn how to capture and label images to create a dataset for training an object detection model. With his cat Clio by his side, Evan emphasizes that building a dataset is crucial and often the most challenging aspect of the model training process. The focus will be on the basic steps of photographing objects and labeling these images using a tool called LabelImg. The ultimate goal is to prepare a labeled image dataset suitable for training object detection models on frameworks like TensorFlow. The video aims to guide viewers through this essential foundational task.
