Brand safety is a set of measures that aim to protect the image and reputation of brands from the negative or damaging influence of questionable or inappropriate content when advertising online. The purpose is to detect and label the content which is not appropriate and contains unsafe materials.
The objective of this annotation effort is to assess readiness of using auto-extracted (using ML models) text segments on video ads to generate timed-text subtitles representing all on-screen (overlay) text covering relevant/key info in a video.
The purpose of Video Technical Cue is to annotate videos (Movies/Web series) into categories like shot boundary, credit boundary, black frames & SMPTE Bars.
The objective is to intervene and bifurcate relevant or unwanted material out of different media like books, academic journals etc.
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.