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I am constructing a custom dataset for image classification. It is a simple task in the sense that only one class needs to be detected. However it is crucial that the dataset is high quality, and I am also researching ways to accomplish this. Some are clear such as images of the object up close and far away, but there might be scenarios that I haven't even thought of. In respect to the domain knowledge of object detection, what important situations must my dataset capture?

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