⚡️🔥😎Tools for image annotation in 2023
V7 Labs is a tool for creating accurate, high-quality datasets for machine learning and computer vision projects. Its wide range of annotation features allows it to be used in many different areas.
Labelbox is the most powerful vector labeling tool targeting simplicity, speed, and a variety of use cases. It can be set up in minutes, scale to any team size, and iterate quickly to create accurate training data.
Scale - With this annotation tool, users can add scales or rulers to help determine the size of objects in an image. This is especially useful when studying photographs of complex structures, such as microscopic organisms or geological formations.
SuperAnnotate is a powerful annotation application that allows users to quickly and accurately annotate photos and videos. It is intended for computer vision development teams, AI researchers, and data scientists who annotate computer vision models. In addition, SuperAnnotate has quality control tools such as automatic screening and consensus checking to ensure high-quality annotations.
Scalabel - Helps users improve accuracy with automated annotations. It focuses on scalability, adaptability and ease of use. Scalabel's support for collaboration and version control allows multiple users to work on the same project simultaneously.