Choosing the best image labeling platform for 2025 depends on various factors, including data types, QA policies, security requirements, and the integration needs with training and evaluation processes. Encord is highlighted as an ideal choice for those seeking an all-in-one solution for annotation, curation, and evaluation with robust governance features, supporting both SaaS and private deployments. Labelbox is praised for its cloud-native active learning capabilities, while SuperAnnotate is noted for its collaborative features and optional managed workforce. V7 excels in high-speed segmentation, making it suitable for teams with tight deadlines, while CVAT and Label Studio are recommended for those who prefer self-hosted control with customizable templates. Roboflow is recognized for its dataset management capabilities, particularly when paired with platforms that ensure comprehensive QA and data provenance. The evaluation of these platforms involves considering factors such as editor depth, automation options, QA processes, governance, hosting preferences, and integration capabilities to suit diverse organizational needs.