For reaction systems with existing intermediate or TS structures, it is an inexpensive but effective way to sample the nearby conformations for a general representation of nearequilibrium surfaces. Data augmentation can also be combined with reaction trajectory sampling, such as IRC and NEB, to improve coverage around reaction pathways. Here we introduce three commonly used data augmentation methods in the ML field as an example.