Make annotations of all sizes and types of images with accurate tools for capturing images, making them easily recognizable by computers or machines.

Tag clips or labels to instruct machines or computers to use AI algorithms to recognize or identify objects.

Access multi-labeled and well-researched segmented, granular, and well-segmented audio files to ensure AI successful results.

Enhance the precision of your products by intelligently classifying items into one or more tags or categories.

3D detectors for objects, enabled by data annotation and labeling, are extensively used in robotics to prevent collisions with dynamic objects like animals, humans, and many other animals.

An appropriate image annotation process and data labeling could play an important role in AI implementation to automate while aiding retailers in improving customers’ shopping experience.

Computer vision algorithms noting bounding boxes for everything near a vehicle permit the vehicle to identify pedestrians and vehicles, traffic signs, and other barriers.

AI implementations that allow automated or assisted flight could be made simpler and more accessible through image annotation in the backend using autonomous flight training data.

Polygon annotation aids AI models in detecting rough and irregularly shaped objects in video and images. Our polygon annotation can accurately detect streets with asymmetry for autonomous vehicles, driverless vehicles, drones, and satellite images.

Companies employ sentiment analysis to understand customers’ opinions and categorize them as positive or negative.

Polyline image annotation can help autonomous vehicles equipped with artificial intelligence models to identify lanes and divergences, directions, and opposing directions to ensure secure and safe driving.

With our skilled data annotators’ precisely labeled training data annotation, NLP makes sense of the raw images and text to aid computer vision and machine learning models in understanding human language.