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It focuses on the data service platform in the artificial intelligence field, and aims at providing the industry with leading data solutions
The customer submits the original data and demand descriptions, while CrowdWise collects data or loses no time in customizing the development annotation tool and annotates data, with the data result delivered to the customer after check by professionalsFree Customized Development of Efficient Annotation Tool for Special Demands
Massive annotation and off-line group collection are carried out around the world based on the customer’s demand, rich high quality source data are offered to the customer, and designated personnel will check them for guaranteeing qualityOne-stop Worldwide Data Collection for Scenarios of Multiple Types
A data annotation platform with its own brands and functions such as demand management, autonomous creation of annotation tools, management of annotation tasks, personnel management, etc. is deployed for the customer in a local wayData are not sent out of the customer environment for guaranteeing data security
The strict data review mechanism and multi-level quality inspection + user grading + risk control system ensures absolute security
The efficient vortex funnel annotation review process + professional annotation tool + professionals reduce a large amount of costs
The efficient and easy-to-use annotation tool + pre-annotation scheme + a massive number of active users rapidly recover data
Real-name Verification, risk control and monitoring and blacklist mechanism, triple guarantees protect data security
Typical Scenario: It collects the actual road conditions, provide training data sets such as high quality target object tracking, barrier monitoring, traffic light identification, lane line annotation and semantic division of road panoramas, enhance the identification accuracy rate of driving AI technology, and promote smart traffic construction
Typical Scenario: It collects various types of languages around the globe, carefully divides and transcribes speech, judges its attributes, improve the accuracy rate of automatic speech recognition and the data quality of text to speech, and make AI better understand sound.
Typical Scenario: It accurately judges semantics by key word extraction, text similarity judgment, semantics review and emotion judgment, efficiently monitor the user’s comments, articles, etc., timely obtain effective feedback.
Typical Scenario: It scans and identifies the text on ID cards, invoices, bank cards, license plate numbers, driving licenses, file and data, and covers the identification results at various angles, under various types of rays of light and of various definition, fully improving the identification accuracy rate.