Animal skins are tanned in order to produce leather, which is a natural material and the price of leather is expensive since it is very susceptible to its quality and condition of surface flaws. Controlling the quality of the final goods in a leather production business requires the manual examination of defects; however, it is time-consuming and frequently prone to human mistakes, and there are very few papers in the literature that investigate leather flaw identification using computer vision approaches. Access to annotated datasets is now one of the most significant obstacles to the application of deep learning techniques in industry, where Self-supervised learning (SSL) techniques attempt to deliver effective, deep feature learning without requiring a massive amount of labeled data sets, which result in easing the labeled data sets obstacle to the actual implementation of deep learning.