Quadrant Neotech transforms unstructured data into superior organized data for applications using artificial intelligence and machine learning. Our full-time employees are skilled in many different types of content creation, including computer vision, natural language processing, and data labeling, extraction, and enrichment. Now let’s get going!
End-to-end AI data platform that combines specially designed apps with in-the-loop professionals to produce large amounts of high-quality data
Video annotation is the process of labeling or tagging video clips which are used for training computer vision models to detect or identify objects.
What is image annotation? Image annotation is the task of labeling digital images, typically involving human input and, in some cases, computer-assisted help.
Text annotation is the practice and the result of adding a note or gloss to a text, which may include highlights or underlining, comments, footnotes, tags, and links.
The process of identifying and labeling the content of images, videos, or other visual media to make the data understandable and usable by computer vision models.
Quadrant combines the human-in-the-loop and process automation platform with the domain knowledge needed to deliver superior model evaluation and feedback to increase accuracy.
Experts in the field offer the assessment and criticism needed to improve model results.
Assess the precision of your database and optimize results for increased effectiveness.
By adding new cases to current datasets and diversifying training examples, you can improve model performance.
Test your model for acceptable prompts and outputs to guard against detrimental behavior, prejudice, and hallucinations.
Analysts, solution architects, and domain experts working full-time
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