Why data annotation is our mission critical?
Data annotation is a critical component of any AI project, particularly in the field of computer vision, where precise labeling of images or video data directly impacts the performance of machine learning models. Without well-marked data, the results can be unsatisfactory, leading to poor model accuracy, unreliable predictions, and ultimately, ineffective outcomes. In our experience, […]
Data quantity vs Data quality
Data quantity refers to the amount of data that is available for analysis. In general, the more data that is available, the better the chances of identifying patterns and trends within the data. On the other hand, data quality refers to the accuracy, completeness, and relevance of the data being analyzed. High-quality data is essential […]