Key Features to Look for in an Image Labeling Tool

The global machine learning industry is expected to reach $79 billion by 2024, with computer vision and image recognition projected to reach $25.8 billion this year. However, the foundation of these advanced AI systems - image annotation - faces persistent challenges that significantly impact model performance due to poor-quality images and inconsistent labeling processes. Modern image labeling tools must balance automation, accuracy, and scalability to handle complex datasets. The right choice can result in accurate annotations and poor performance in object detection, recognition, and classification tasks. Encord's platform addresses these requirements through its comprehensive feature set, delivering significant efficiency gains across various industries.