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Video Annotation Services

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Unlock the full potential of your AI/ML models with our high-quality video annotation services

At NextWealth, we specialize in delivering precise and accurate video annotations that enhance machine learning algorithms, driving smarter decision-making and improved performance. Our human-in-the-loop approach ensures the highest level of accuracy and contextual understanding, making your computer vision models more reliable and efficient. Whether it’s object tracking, activity recognition, frame-by-frame segmentation, or keypoint annotation, our expert team is dedicated to powering your AI systems with the data they need to excel.

What is Video Annotation?

Video annotation is the process of labeling and tagging objects, actions, and events within a video to enable AI-powered systems to analyze, interpret, and respond to real-world scenarios with precision. By identifying moving objects, segmenting frames, and tracking objects across time, video annotation enhances the ability of computer vision models to recognize patterns, predict behaviors, and improve decision-making.

While automated tools can accelerate annotation, human-in-the-loop (HITL) oversight ensures that contextual accuracy, motion tracking, and nuanced details are captured with precision addressing the limitations of fully automated models. Video annotation ranges from bounding box tracking and semantic segmentation to facial recognition and gesture analysis, depending on the complexity of the use case.

Applications of Video Annotation Services

Video annotation services can provide a lot of value to businesses across various industries. Depending on the type of business and mode of operation, it can be used in a variety of scenarios. It is possible to create, update, and combine various datasets, as well as to create training datasets, with databases. We begin by understanding the nature of the business and then perform image annotation. We ensure that your images are prepared for computer vision, regardless of whether they are in the retail, fintech, e-commerce, or healthcare industry.

Medicine Industry

Our video annotation helps in tracking the movement of various cells in humans for early diagnosis. It also helps healthcare providers to deliver quality services using artificial intelligence and machine learning.

Sports AI

We annotate video to localize the human body poses and joints to achieve better action recognition. Analyzing such player movements helps in generating data sets to formulate strategies that can improve the game of players.

Driver Monitoring

Our AI video annotation solutions can label and track the body movements in the video, making it easy for AI/ML models to interpret human behaviors. This can be used to give warnings if the driver is falling asleep to prevent accidents.

Security AI

Our video annotation solutions for security AI are useful for detecting human behaviour in CCTV footage. Skeletal annotations of this type can help the AI models to identify cases of threatening or unusual behaviours.

Manufacturing

Our Video annotation makes the manufacturing industry more efficient by increasing the productivity of robots. As a result, these robots can help detect defective items in production or manufacturing errors.

Media and News Industry

We provide training datasets for better reporting and transcribing video interviews in the news and media industry. Such accurately labeled datasets can also result in the developing of AI models that automatically detect fake news.