We prepare
training data for AI
Our team, processes, tools and training data platform all work together seamlessly to deliver high quality training data for your computer vision models.
Our team, processes, tools and training data platform all work together seamlessly to deliver high quality training data for your computer vision models.
Whether your ML model works off static images, raw videos or 3D LiDAR - our experienced team can prepare the necessary training data for you.
We provide data annotation services for global clients working on artificial intelligence (AI) and deep learning models . We cover use-cases across:
Video is one of the fastest-growing forms of content on the Internet. With that is a growing need to understand videos better in the context of machine learning. This enables improvement in user experience while gathering insight. We are capable of supporting annotations for a wide range of computer vision and classification applications.
For lidar and radar, we provide 3D point cloud annotations for computer vision training data. This helps build a better understanding of systems. Our technology is an industry-standard, annotation platform for 3D data. We are capable of supporting inputs from any LiDAR, RADAR, and camera. Machine learning teams can trust to accelerate and ensure the successful deployment of their models. We keep quality and accuracy in the front end - always.
We support a wide range of annotation types for computer vision. The process of labeling images is faster and easier when we do it for you. We focus on accuracy and bring you the best quality results.
The possibilities of working with text-based data are practically endless. But first, we need to understand, extract, and be able to use this data. This is where we come in with our standards of quality and focus on accuracy.
The possibilities of working with text-based data are practically endless. But first, we need to understand, extract, and be able to use this data. This is where we come in with our standards of quality and focus on accuracy.
We use the most comprehensive platforms for speech-to-text conversions. We also support a wide range of audio labeling solutions
Classification sorts images and videos into predefined categories and sub-categories.
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A bounding box is an annotation that describes the width, height, and location of objects. It is also applicable for videos considering each frame.
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Polygons help annotate the exact edges of an object for more definite targets and precision.
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Segmentation of different objects in an image. This includes full semantic, instance or panoptic segmentation.
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Lines and splines are straight and curved lines that are often used to annotate objects.
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