For Subtitling & Captioning, our team performs transcription on audio or dialogues in videos. We transcribe it into written text & synchronize it with corresponding audio or video segments. Accuracy in capturing spoken words, including dialogue & narration, is ensured. Classes include timestamps for each transcribed audio segment.
For Brand Exposure, our team majorly performs bounding box annotation. We recognize & labeled classes like logos, trademark products & other visual elements associated with specific brands in each frame of media content like images, videos, or social media posts.
For Scene / Frame Annotation, our team performs bounding box annotation on each frame or scene of a video. We label objects, characters, actions, emotions, locations & events. Classes also include timestamp, shot type, camera angle & lighting conditions. Accurate annotation & analysis of individual frames provide insights into audience engagement, content trends & viewer preferences.
In Content Moderation, our team performs labeling & tagging. Our dedicatedly trained staff in this vertical, annotate content based on categories like "safe," "unsafe," "explicit," "violent," "spam," "hate speech," or "misinformation." For visual content, we marked elements such as nudity, violence, gore, explicit imagery, weapons, drugs, or copyrighted material. This annotated data aids in determining suitability for publication & distribution. Talk to us to understand more about how Qualitas Global can help you in Content Moderation.
For Gesture Registration / Recognition, our team performs labelling & tagging by observing specific gestures made by individuals in each image. Classes encompass hand gestures like thumbs-up, peace sign, or waving in videos.
For Content Recommendation System, our team annotates various types of content & user interactions based on genre, topic, theme, or other relevant attributes. Annotation includes user interactions, including clicks, views, likes, dislikes, ratings & time spent on content. These annotation facilitate user preferences & content characteristics to generate personalized recommendations.