Crowd Surveillance
We utilized bounding box and polygon annotation techniques to annotate individuals in crowded places, such as airports, railway stations, and malls, using blurred images and videos captured from surveillance cameras. This annotation process enabled accurate identification and tracking of people in these high-density environments.
Weapons Detection
Bounding box annotation techniques is utilized to identify and label various types of weapons presented on a tray in videos. This annotation process facilitated the accurate categorization of weapons, enabling tasks such as weapon detection, security analysis, and threat assessment to be performed effectively.
Facial Recognition
Strategically locating multiple key facial points, including eyes, nose, lips, ears, and face contour on images. This enhances the system's ability to accurately identify and track individuals in images, ensuring superior performance.
Emotional Profiling
We analyzed the sentiment in diverse text data, encompassing social media posts, news articles, and more. We accurately categorized sentiments as positive, negative, or neutral, while assigning relevant labels such as Abuse, Drugs, Intoxication, and more for enhanced insights and understanding.
Night Vision Camera Images Annotation
We performed analysis on night vision camera images, employing bounding boxes to accurately identify and labels objects such as humans, animals, vehicles, etc. This annotation process enhances the visibility of object subjects, enabling improved surveillance, security, and situational awareness in low-light conditions.
Case Studies
See Our Impact On
Autonomous Vehicle
May 16, 2023
Autonomous Vehicle
May 16, 2023
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Neville Patel – A Visionary In The Data Annotation Industry. Artificial Intelligence and Machine Learning are revamping the way…
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