
How High-quality Training Data Improves AI/ML Models’ Accuracy
Understand why high-quality labeled datasets are a must for successful computer vision models.
Understand why high-quality labeled datasets are a must for successful computer vision models.
AI video annotation is a process of adding metadata to videos to improve their searchability and organization. It is done manually or with the help of automatic algorithms that use artificial intelligence (AI) to analyze the video content and automatically generate tags or labels.
Pivoting data is the process of transforming it into an alternative structure, thus creating new insights. This is done in order to identify patterns and relationships that were not apparent in the original data set. The results of this analysis can be used to make better decisions and predictions.