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Annotated Videos for Your AI Projects
Machine learning models require high-quality annotated videos to generate high-quality outputs. Your goal here is to train your ML models with high-quality, consistently labeled videos. Let our video annotation services help you with that. Maintaining high-quality video annotation thoroughly is important for optimal machine learning functionality. The application of video annotation is wide; it covers all the major areas in machine learning development. The best application of video annotation can be seen in self-driving cars, geospatial technology, AI-enabled medical devices, etc. Bring the excellence of video labeling into your AI technology with annotation experts.
Types of Video Annotation We Cover
Our team of specialized video annotators has been labeling videos for many years now. We can proudly say that we are the ones who have seen the development of AI from close proximity. That’s one of the reasons why we cover various ranges of video annotation services. Let’s have a look;
Bounding Box Annotation
It’s the most common but crucial type of annotation used for annotating videos. Our data annotation experts draw rectangular boxes to illustrate objects in the videos. It helps the ML algorithm to identify and localize objects during the training. Our experts are the best at drawing bounding boxes around objects in complex video clips.
Polygon Annotation
Rectangular boxes are sometimes not enough to cover up objects in a video frame. Because static objects do not come with a similar shape. In that case, our video annotators draw polygon boxes to annotate objects in a video frame. We ensure that every object gets annotated, regardless of its shape, in the provided video frames.
Semantic Segmentation
Videos are nothing but consist of various frames. Objects appear in multiple frames in a video. And thus, semantic segmentation helps annotators to examine each frame and classify objects pixel by pixel.
Skeletal Annotation
Besides other objects, we annotate human beings covered in the training video clips. Our expert annotators use skeletal annotation to showcase body positions and their alignment. We get the maximum demand for this service from the sports and fitness industries. They use it for developing sports analytics and security applications.
Bounding boxes and other types of annotation boxes are 2D in nature. They are rightly fit for objects that are not moving, remain static in videos. However, for moving objects, cuboid annotation is always better. Our annotators draw 3D annotation boxes for the objects that require specific 3D measurements.
Keypoint Annotation
Again, keypoint annotation is one of the best annotation techniques used for annotating humans in a video frame. We annotate key points of an object that appeared in videos. It includes identification and marking of key points such as eyes, lips, nose, and if it is used for medical devices, it considers individual cells, too.
Lane Annotation
To interpret roads, pipelines, rails, and other types of objects, we use lane annotation techniques. Here we annotate objects via lines in the video frames. This type of annotation model is hugely popular in the car industry and in the field of computer vision technology for developing self-driving cars.
Custom Annotation
Not every project is the same, and we know that. That’s why we designed our custom annotation services, where we offer different combinations of annotation types that fit your ML learning objectives. Our R&D team is here to evaluate all your project-specific goals and suggest the best annotation types that you need for your projects.
Who We Serve
Train Your AI Models with Annotated Videos
Build AI with computer vision technology with the help of our quality-assured video annotation services. Our team has the relevant expertise in annotating objects from video clips using different techniques. We are also comfortable operating different tools for annotating videos. Let’s fill out this form to get started!
Client Experiences
Partnering with InputiX has transformed our data annotation experience. Their attention to detail and commitment to accuracy have significantly enhanced our AI initiatives. The team’s professionalism and timely delivery make them a reliable choice. InputiX is more than a service provider; they are a strategic ally in our journey toward data-driven excellence. Grateful for their expertise and seamless collaboration.
Melin P., Operation Head of an Auto Manufacturing Company
