Image Labeling Services
Boost your AI applications accuracy and productivity with our specialist image labeling services. Our skilled team meticulously annotates and categorizes images, empowering your AI applications with accurately labeled data for enhanced performance and accelerated insights.
Image Classification
Image segmentation or classification services visually examine and categorize images into different predefined classes or categories. The labeled data is used to create labeled datasets for training machine learning models and evaluating their accuracy in recognizing objects within images.
Semantic Classification
Semantic segmentation involves the process of manually outlining and categorizing distinct objects or regions within an image, assigning each pixel to a specific class or category. This detailed labeling enables computer vision models to understand and differentiate various elements in an image, aiding tasks such as object detection, scene understanding, and autonomous navigation.
Instance Segmentation
involves annotators identifying and outlining individual objects within an image, while also distinguishing between different instances of the same object class. This detailed labeling method is commonly used to provide precise information for tasks such as object tracking, scene understanding, and computer vision model training.
Landmark Segmentation
Landmark segmentation identifies and delineates specific key points or landmarks within an image or dataset. This task is typically performed to create a labeled dataset for training facial and other computer vision machine learning models that require accurate location information for these landmarks.