HOW TO PREVENT BIAS IN IMAGE DATA COLLECTION FOR MACHINE LEARNING

Introduction In the swiftly advancing field of machine learning, the caliber and variety of training data are vital for the effectiveness of models. In the context of image-based artificial intelligence, the quality of the dataset significantly influences the model's ability to generalize across various situations. A significant obstacle i