Evaluating Contextual Bias in CNN Image Classification: Evidence from Agricultural Benchmark Datasets

Convolutional neural networks (CNNs) are typically evaluated using held-out classification accuracy, an approach that presupposes predictions are based primarily on the intended object of interest rather than incidental surrounding context. We test this assumption in CNN-based agricultural image cla