The paper deals with the comparison in dimension two between the strong Jacobian determinant \(\textrm{det}\hspace{0.56905pt}\) and the weak (or distributional) Jacobian determinant \(\textrm{Det}\hspace{0.56905pt}\) . Restricting ourselves to dimension two, we extend the classical results of Ball and Müller as well as more recent ones to bounded variation vector-valued functions, providing a sufficient condition on a vector-valued U in \(BV(\Omega )^2\) such that the equality \(\textrm{det}\hspace{0.56905pt}(\nabla U)=\textrm{Det}\hspace{0.56905pt}(\nabla U)\) holds either in the distributional sense on \(\Omega \) , or almost-everywhere in \(\Omega \) when U is in \(W^{1,1}(\Omega )^2\) . The key-assumption of the result is the regularity of the Jacobian matrix-valued \(\nabla U\) along the direction of a given non vanishing vector field \(b\in C^1(\Omega )^2\) , i.e. \(\nabla U\, b\) is assumed either to belong to \(C^0(\Omega )^2\) with one of its coordinates in \(C^1(\Omega )\) , or to belong to \(C^1(\Omega )^2\) . Two examples illustrate this new notion of two-dimensional distributional determinant. Finally, we prove the lower semicontinuity of a polyconvex energy defined for vector-valued functions U in \(BV(\Omega )^2\) , assuming that the vector field b and one of the coordinates of \(\nabla U\, b\) lie in a compact set of regular vector-valued functions.