We help you unlock hidden value from your data by providing high-quality annotation and transcription services for training ML and GenAI models.
We provide comprehensive annotation and transcription services to help train your machine learning models with high-quality labeled data.
Image annotation is a critical process in computer vision, involving labeling images with human-powered work and computer-assisted algorithms for tasks like image classification, segmentation, and object detection.
Video annotation is the process of labeling video clips frame-by-frame for training computer vision models to detect or identify objects, used in applications like self-driving cars, medical AI, and geospatial technology.
Our teams label images and videos in 360-degree visibility captured by multi-sensor cameras to build accurate, high-quality ground truth datasets for computer vision models like autonomous vehicles.
We help train AI models by accurately comprehending, analyzing, and responding to various human languages, extracting relevant entities and intents from free text for chatbots and other applications.
Our audio transcription specialists use advanced models to convert datasets in various languages into personalized text, making sound and speech comprehensible to chatbots and virtual assistants.
We help source text, image, audio, video and geo-local data to train your machine learning models using both platform automation and human verification from our AI Community of 1 million+ members.
We offer a wide range of annotation techniques to meet your specific project requirements and use cases.
Our computer vision specialists use this versatile method to train data and identify objects, enabling algorithms to recognize and locate objects during machine learning.
Expert annotators mark every vertex in a target object, identifying edges regardless of shape with pixel-perfect polygons accurately drawn around objects of interest.
Images are segmented into component parts and annotated at the pixel level, providing fast segmentation via intuitive ML-assisted tools for better perception models.
A specialized form of image annotation that enables experts to identify and categorize images or objects within images with the aid of multi-level taxonomies.
Create machine learning training datasets that teach models to recognize object depth by placing anchor points on the edges of an item and connecting them to produce 3D representations.
Connect individual points across various objects to identify shapes and variations, particularly effective for detecting body features including facial expressions and emotions.
Create comprehensive training datasets using polyline annotation to identify physical boundaries necessary for autonomous vehicles and teach perception models to recognize road boundaries.
Parse text data into categories such as phrases, sentences, and keywords to train models to communicate effectively in natural human language for search engines and chatbots.
Our annotation and transcription services benefit a wide range of industries looking to leverage AI and machine learning.
Alignment of annotation tools and processes, structured development milestones, and two-step production and QA annotation workflows tailored to your needs.
Solution-based approach that uses interdisciplinary video annotation to solve problems with agility, responsiveness, and faster time-to-value.
Targeted resources, custom skilling, focused and deep microlearning curriculum, domain expertise, and rostering tools to ensure quality outputs.
Transparency via analytics, real-time monitoring, service delivery insights, edge case insights, and dynamic model improvement throughout the project.
Assessment of deliverables, appraisal of key metrics, quality control processes, model reconsideration, and analysis of business outcomes.
Let our expert team help you with high-quality annotation and transcription services to train your ML and AI models effectively.
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