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To achieve rapid and accurate identification and detection of oil leakage in oil filled equipment and pipelines of power plant, an improved SSD oil leakage image detection algorithm is introduced in this paper. Firstly, high-resolution network is applied to achieve the feature extraction with high-resolution. Secondly, feature expression ability is increased through high-resolution feature information integration with modified feature fusion model. Moreover, a data image augmentation strategy is presented based on random seeds shading. Finally, a oil leakage dataset is constructed in a electrical factory equipment to solve the problem of oil leakage. Compared with SSD, verification experiment show that the accuracy and recall increased by 3.1% and 3.7% respectively. It improves the detection ability significantly, which meets the needs of engineering.