Data Integrity Challenges

Tom discusses the complexities of managing image data for classification tasks, highlighting the risks of data poisoning. He illustrates how treating multiple images of the same product as independent samples can lead to misleading predictions, emphasizing the importance of careful data handling to ensure model accuracy.