In order to study perception and cognition in well-controlled settings, researchers often use simple objects as stimuli, such as colored circles or lines with different orientations. However, the visual processing of real-world objects may significantly differ from “simple" objects (Asp et al., 2021; Brady & Störmer, 2020). One of the complex features of real-world objects corresponding to realistic transformations of the object appearance without changing the object itself is the object’s state. Researchers have previously suggested several stimulus sets with real-world objects from various basic categories, with each category represented by two distinct exemplars and in two different states (e.g., open-close, empty-full - Balaban et al., 2020; Brady, et al., 2013; Markov et al., 2021). These sets were used to study how complex features (exemplars and states) could be stored in visual memory. However, these stimulus sets were not standardized and could be used only in 2AFC tasks. We created a new stimulus set with real-world objects, where each category is represented by two exemplars with continuously changing states (20 steps per exemplar), allowing to conduct experiments with the continuous report paradigm. In accordance with previous validation studies (Snodgrass & Vanderwart, 1980), we will obtain the following norms for each object: the name of the object, the name of the changing state, the familiarity of the object, the familiarity of the changing state, and the complexity of the image. The stimulus set and norms will be available on the website: https://www.ymarkov.com/stimuli-base [The study was supported by RFBR (№20-313-90064).]