Camellia oil, as a healthy and high-quality vegetable oil, has great economic value while being popular in the market. Low-field nuclear magnetic resonance (LF-NMR) technology is widely used in the field of food detection due to its rapid and non-destructive characteristics, but the current application of LF-NMR technology in the detection of counterfeit and adulteration of camellia oil remains to be studied. Low-field two-dimensional nuclear magnetic resonance （LF-2D-NMR）can provide abundant relaxation information. Based on the study of the T1-T2 LF-2D-NMR spectrum information of eight edible oils in the fresh and oxidized state, the identification models of camellia oil with other edible oils, oxidized edible oils and the quantitative models of camellia oil blended with corn oil, soybean oil and sunflower oil was established combined with chemometric methods. The results showed that the LF-2D-NMR information of different kinds of edible oils was obviously different;the LF-2D-NMR information between oxidized edible oil and normal edible oil was significantly different;LF-2D-NMR can provide richer characteristic information. The PLS-DA model of camellia oil with other seven kinds of edible oils or eight kinds of oxidized edible oils had excellent classification effect, the accuracy of discrimination both were 100%. In addition, PLS model of camellia oil blended with corn oil, soybean oil, and linseed oil were also established. Studies showed that low-field T1-T2 two-dimensional nuclear magnetic resonance technology can play an important role in the identification of edible oil types and camellia oil adulteration.