Manually annotating data produces more precise and higher-quality data than automated annotation. For services such as 2D bounding boxes, polygons, semantic segmentation, labeling, and point and landmark annotation, we engage specialists with the requisite expertise to ensure a high-quality machine-learning experience. Our experts analyze images for machines to perceive the world as humans do.

Companies that require online speech recognition technology should consider our voice recognition services. You can write documents, operate various devices, and retrieve information using only voice input if you have a team that can translate audio. We’ll assist you in keeping up with this well-liked trend. Ensure the terminology in your speech models is appropriate for the organization and industry. Overcome obstacles to speech recognition like specific vocabulary, accents, or background noise.

It is best to assign a team of our data annotation experts to handle the organization and processing of large files and collections of files. Our teams are experts in sentiment analysis, name-entity recognition, relationship extraction, text categorization and classification, and keyword tagging. We offer cognitive text labeling services using our patented text labeling tools, which enable businesses to find valuable information in unstructured text. The ability to annotate text is helpful for the machine to comprehend human language.

Segmenting and annotating images at the pixel level is known as “semantic segmentation” or “semantic analysis.” Robotics, drones, and self-driving cars use the datasets from this service. An image can be divided into segments using the computerized image segmentation technique, which uses different pixel types in each part. Advanced image processing and PC vision use it. The section aims to rearrange and transform a picture’s representation into a more significant and straightforward investigation.

For all varieties of LiDAR (Light Detection and Ranging), object tracking across frames in 3D point clouds is made possible by 3D LiDAR annotation or point cloud labeling. Various products utilize the technology, including autonomous vehicles, drones, maps, and agricultural technology. LiDAR performs at a very high level of autonomy, making it the most crucial component of any autonomous vehicle. Point cloud labeling is pivotal in using deep learning algorithms for labeling a substantial amount of training data.

We offer top-notch datasets that your chatbots and virtual assistants can use as training data. You can create powerful conversational solutions with the help of our robust data. Our services allow your virtual assistants and chatbots to interact seamlessly with humans. We provide high-quality datasets from our comprehensive knowledge of conversational AI datasets and pertinent technologies that are incredibly efficient in preparing chatbots or virtual assistants for natural conversation.