In the realm of computer vision, object detection has become a crucial task for various applications. While training a custom YOLO model can be effective, it requires a significant amount of high-quality dataset. This can be a time-consuming and resource-intensive process. Therefore, it is essential to explore mature and reliable third-party solutions that offer paid APIs. These alternatives can provide a more efficient and cost-effective approach to object detection, especially for projects with limited data resources. By leveraging existing solutions, developers can streamline their workflow and focus on more complex aspects of their projects.