Cue Generation for Video Content

To annotate video frames of movies/webseries/etc. into categories like shot boundary, credit boundary, black frames & SMPTE Bars, so that audiences find it easier to skip through unwanted sections of the videos. Project Category Computer Vision, Media Achievement The annotated videos used as inputs for deep learning, are now enabling AI models to successfully acquire […]

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Content Filtering for Online Discussion Platform

To detect and analyze anomalies in queries posted by students worldwide on academic web-based platforms and segregate unwanted elements (if any) from their questions that are not required or associated with the context directly, in order to render a clear visibility to the ones in charge of answering the queries. Project Category Natural Language Programing, […]

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Subtitle Quality Check for English Videos

To assess readiness and conduct manual annotation of auto-extracted (using ML models) text segments on English video ads for generating English timed-text subtitles representing all on-screen (overlay) text covering relevant/key information in English advertisement videos. Project Category Natural Language Programing, Media Achievement The annotated videos used as inputs for deep learning, are now enabling AI […]

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Brand Reputation Safety

While advertising their brand online, advertisers often face problems due to the negative or damaging influence of inappropriate or unsafe content that appears around the advertisement. In order to prevent such negative influence, it is crucial to protect the brand’s reputation by segregating the safe and unsafe content. Project Category Natural Language Programing, Media Achievement […]

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AIW is a Data Labeling & Annotation services company providing highly accurate and timely human-in-the-loop labeled and annotated data across various domains and industry verticals to AI-enabling businesses intending to enable superior training of AI and ML models.

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