Our growing team of SMEs is working with complex use cases under this domain and enhancing the models with our expert data labeling & annotation solutions
Maps AI & Machine Model
The objective is to work on user alerts (user raises alerts if any discrepancy found in maps while using), validating the user raised alerts as per ground truth, resolving the issue highlighted in the alerts as per validation outcome, keeping the maps error-free to give customers a hassle less map to use for their commute.
Human Attribution
This is all about identifying, classifying/labeling and sourcing of person (celebrity or non-celebrity) based on certain facial features and other attributes and thus determining their identity, race, ethnicity, gender, profession etc. The classification and identification methods also involve certain peripheral, ancillary or incidental attributes like occlusion, lighting condition, attire, indoor/outdoor setup etc.
With specialists trained to perform advanced data labeling and annotation, AIW is at the forefront of the future growth of this industry
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