The project culminated in the creation of a highly accurate custom image classification model, boasting an impressive accuracy rate of 93.67%. This achievement was made possible by leveraging the powerful Inception V3 architecture, which played a pivotal role in extracting intricate features from the images. The model's accuracy underscores the efficacy of Inception V3, showcasing the potential of tailored models for achieving precision in diverse visual recognition tasks.
