Essentially video and image annotation is inscribing metadata to videos and images that are not labeled so that it can be used to develop and train algorithms of machine learning, this is vital to the development of Artificial intelligence. The metadata ascribed to the images and videos can be called labels or tags, this can be done in various ways like annotating the pixels with semantic meaning. This helps to prepare algorithms to perform various functions like tracking objects through segments and frames of videos. This can be done only when your videos are properly tagged, frame by frame, this dataset can greatly influence and improve a variety of technologies used in various industries and works of life like automated manufacturing.