Welcome to our data annotation services at TOSS, where we provide comprehensive solutions for businesses looking to improve the accuracy and efficiency of their machine learning models and automated systems. Our data annotation services include data annotation, segmentation, and labelling for images and videos, using a variety of techniques including polygon, bounding box, Semantic segmentation and 3D cuboids.  

Data Annotation: Our data annotation services provide businesses with annotated data that can be used to train machine learning models and improve the accuracy of automated systems. We offer a wide range of data annotation services, including image and video annotation, text annotation, and more. Our team of experienced professionals ensures that our clients receive high-quality annotated data that meets their specific needs. 

Segmentation: Our segmentation services provide businesses with annotated data that is divided into specific segments, making it easier to identify and analyze specific areas of interest. 

Data Labelling: Our data labelling services provide businesses with labeled data that is used to train machine learning models and improve the accuracy of automated systems. We ensure that our clients receive high-quality labeled data that meets their specific needs.

 At TOSS, we understand that data annotation is a critical component of any machine learning project, which is why we provide comprehensive data annotation services that deliver results. Our team of data annotation experts has years of experience in polygon, bounding box, and cuboid annotation techniques, using their expertise to help businesses improve the accuracy and efficiency of their machine learning models and automated systems. We use a collaborative approach, working closely with our clients to understand their data annotation needs and create customized solutions that deliver results. Our data annotation services are designed to provide businesses with the annotated data they need to train machine learning models and improve the accuracy of their automated systems.