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If drone-captured farmland images vary in resolution and aspect ratio, what should be the most important consideration when selecting a model?
①Architectures that can directly process variable-sized inputs (e.g., fully convolutional networks or support for variable-length tokens)
②Total number of images in the dataset used for pre-training.
③The model has a large number of parameters.
④High frame rate during inference.
⑤That the number of classification classes is set in fine detail.