Enriching training data for reliable machine learning models
With AI and ML models becoming mainstream, businesses need a way to make sense of the vast amount of unlabelled, raw data to be processed by the models. This is where data annotation services come in. By labeling or tagging data by human
annotators, we help train machine learning models by driving context for input data like images, videos, and audio. Our services are crafted to process large amounts of data, improving model accuracy and reliability.
Our experts help classify and label images with accurate keywords, descriptions, or classifications to bring context to your training data. They use state-of-the-art techniques like bounding box annotation, semantic segmentation, polygon annotation, and more to derive insights.
Get frame-level, precise annotations for videos used in object tracking, action recognition, facial recognition, object segmentation, and detection with masks like keypoint, polygons, and 3D cuboids.
Simplify labeling and adding metadata for natural language processing (NLP) applications like sentiment analysis, chatbots, and more with a team of expert annotators that cover multiple languages and dialects.
Our seasoned annotators offer semantic annotation services like text identification and analysis, concept extraction, and relationship extraction to derive personalized recommendations, contextual content discovery, and risk detection.
Our audio annotation expertise covers speaker diarization, transcription, and more across industries and use cases to ensure critical elements are identified and accurately labeled to be used for models deployed in sectors like call centers, and entertainment.
Address critical use cases in the automotive industry with accurate annotation and computer vision models.
Identify and classify essential entities in financial text to detect patterns and anomalies faster, managing risks.
Understand customer preferences better with accurate annotations to personalize shopping experiences.
Manage energy data better with advanced computer vision and annotation models, boosting efficiency and accuracy.