iMerit delivers stellar video annotation services that power AI, machine learning, and data operation strategies.
Video annotation is the process of labeling or tagging video clips which are used for training computer vision models to detect or identify objects. Unlike image annotation, video annotation involves annotating objects on a frame-by-frame basis to make them recognizable for machine learning models.
High-quality video annotation generates ground truth datasets for optimal machine learning functionality. There are numerous deep learning applications for video annotation across industries including self-driving cars, medical AI, and geospatial technology.
iMerit provides video annotation services for all annotation projects including bounding box annotation, polygon annotation, keypoint annotation, and semantic segmentation. iMerit’s team works with the client to calibrate the quality and throughput of the job and deliver the best cost-quality ratio as you iterate. We recommend running a sample batch to clarify instructions, edge cases, and approximate task times, before launching full batches.
It is the most commonly used type of video annotation in computer vision. iMerit computer vision experts use rectangular box annotation to illustrate objects and create training data so apps and algorithms can identify and localize objects during ML processes.
Expert annotators plot points on each vertex of the target object. Polygon annotation allows all of the object’s exact edges to be annotated, regardless of shape.
Videos are segmented into component parts, by the iMerit team, and then annotated. iMerit computer vision experts examine video frames and classify objects pixel by pixel.
iMerit teams outline objects and shape variations by connecting individual points across objects. This annotation type detects body features and could include facial expressions and emotions.
iMerit experts use points on landmarks and peoples’ faces when annotating video footage. Expertly-conducted landmark annotation creates valuable training datasets for high-performing computer vision models.
iMerit experts perform object tracking by drawing cubes around objects. This allows systems to recognize a given object’s length, width, and height.
iMerit experts create training datasets using polyline annotation that teach models to identify physical boundaries to operate within.
iMerit’s video annotation platform utilizes video interpolation to rapidly annotate suitable video footage. iMerit annotation experts create best-in-class video training datasets in rapid time for any AI or ML project.
Transformative, solution-based approach. Interdisciplinary video annotation problem solving. Agility and responsiveness, time-to-value enhancers.
Targeted resources. Custom skilling. Focused and deep microlearning curriculum. Domain expertise. Rostering tools.
Alignment of video annotation tools and processes. Structured Development Milestones. Two-step production and QA annotation workflows.
Transparency via analytics. Real time monitoring and service delivery insights. Edge case Insights. Dynamic model improvement.
Assessment of deliverable. Appraisal of key metrics, quality control processes. Model reconsideration. Analysis of business outcome.
iMerit’s video annotation experts have processed 500+ video datasets of various formats at a much higher level of detail than the client’s own teams. Our expert annotators solved the challenge of frame-by-frame manual processing of CCTV videos by accurately identifying and annotating required objects.
iMerit’s video annotation experts created datasets to train the world’s most advanced machine learning solutions for rearview cameras and alert systems. Our experts annotated still and moving objects using bounding boxes in video material to identify potentially dangerous objects.
iMerit experts will comb through an entire video using the iMerit proprietary annotation platform to teach a vehicle to accurately detect street lanes, road markings, directions, divergence, and traffic.
iMerit experts used video editing to pause and apply keypoints on a person’s face. This allowed iMerit to create world-class training datasets for use in facial recognition models. This advanced technology is helping in public areas where crimes occur to identity and apprehend perpetrators.
Industrial robots are being taught to see with iMerit video annotation. These perceptive robots are adaptive to their environment, allowing them to respond to their environment without any human interaction. This automation is creating high production and less human accidents.
Farmers use computer vision to monitor their crops for pests and plant diseases. Through the use of footage collected by drones, iMerit experts can teach a model to recognize pests and potential threats to crop fields by annotating the footage.
Virtual training and home workouts can use computer vision to coach clients on form, posture, and performance. iMerit experts use video annotation to teach sports AI models how to recognize when a client is performing in a way that puts them at risk for injury or challenges their performance.
Million
Video data points annotated
%
Accuracy
The need for speed in high-quality video annotation has never been greater. iMerit combines the best predictive and automated annotation technology with world-class data annotation experts and subject matter experts to deliver the data you need to get to production, fast.
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