Video Annotation Service
Video annotation services help create high-quality video annotation datasets for training machine learning algorithms to recognize objects in the real world and perform specific actions.
Video Annotation Services
Video annotation services help create high-quality video annotation datasets for training machine learning algorithms to recognize objects in the real world and perform specific actions.
What Is Video Annotation?
Video annotation is the process of adding descriptive metadata to video content using annotation tools. Also known as video labeling, a video annotation tool allows users or annotators to specify and highlight objects or actions within a video to provide meticulous annotation for various tasks. This is important for ensuring the video’s data quality for further analysis. A video annotation platform helps to streamline the labeling and categorizing of video content for various purposes, such as video training or AI projects, by opting for 3D video annotation or 2D video annotation services.
Like image annotation, various video data annotation services are available, ranging from simple object labeling to complex categorization and segmenting of objects in a video frame.
How Can AnnotationBox.Com Help Companies Dealing With Video Annotation Challenges?
Data annotation can be challenging, especially when dealing with moving objects and the substantial volume of video annotation required. Additionally, tracking a large number of overlapping events in a video requires a high level of accuracy, down to milliseconds, which can be quite challenging. Therefore, businesses outsource video annotation services for computer vision to get excellent results.
To address these challenges faced by all, we offer advanced computer vision video annotation services for video data, enabling companies to simplify their annotation tasks within video content. Our team of video annotation specialists can handle live video annotation efficiently. With our leading video annotation software, companies can rely on us to complete annotation tasks accurately and on time, whether for computer vision or machine learning. We offer the best video annotation solutions in the industry.
Different Types Of Video Annotation Services We Offer
The choice of video annotation technique depends on the intended objective of the annotated data. Different video annotation projects require different annotation techniques. Therefore, it is essential to ensure that the correct technique is used based on the video annotation requirements. Some of the common video annotation techniques to choose from are.
Polyline Annotation
Polyline annotation is also called lines or spline annotation. It involves drawing continuous lines on objects of interest. The technique is mainly helps to create datasets for training lidar applications to avoid crossing their lane onto other vehicles.
2D Bounding Boxes
The 2D video bounding box annotation tool draws a box around the edges of the annotated object. Bounding boxes are the most common data annotation technique for creating video datasets for training computer vision models to identify objects in real life.
Polygon Annotation
Polygon Annotations involve placing dots along the edges of the annotation object and then joining the dots to create an outline of the shape of the object of interest. Polygon annotation allows capturing the actual form of irregularly shaped objects where bounding boxes cannot achieve the same and elevate your AI challenges.
Landmark Annotation
Landmark annotation involves plotting critical points on the shape of the annotation object. Its versatility makes it useful for annotating video objects with any shape variation. The plotting of vital points then helps train computer vision models to identify and classify objects of similar appearance in real life.
3D Cuboid Annotation
3D cuboid annotation involves creating a 3D world depiction from 2D objects using cuboids for computer vision algorithms. The cuboids, in addition to length and width, also provide computer vision models with information about the depth of the objects, allowing them to recognize objects better in the real world.
Semantic Segmentation
Semantic segmentation is a data annotation technique where an object of interest is annotated at the pixel level. In the video annotation process, an annotation object is annotated at the pixel level in each video frame and assigned a single predefined class throughout the entire video.
Keypoint annotation
Keypoint annotation is quite similar to landmark annotation. It involves placing key points on specific points of interest in an annotation object. The critical point helps to train algorithms to identify one object relative to another, such as in sports.
Event Tracking & Classification
It involves obtaining raw video data and using it to train computer vision to identify, classify, and track object actions through multiple video frames. The AI model is trained to identify specific movements in an object and follow the same through various stages in a video clip.
Video Annotation Services For Driverless Cars, Computer Vision Models, ADAS, And Object Tracking
Training computer vision models to carry out different actions need high-quality training datasets. Depending on the project object, different annotation types can help to produce high-quality video annotation.
Our team of advanced video annotation experts with high experience and skill in implementing video annotation tools and techniques meet your AI training data needs. Using proprietary frameworks, we ensure accurate pixel-based segmentation and meticulous object labeling in video frames. Our annotators don’t just tag video components but also provide frame-by-frame annotations to extract valuable insights and support your cognitive solution-building and augmented reality efforts.
We offer comprehensive video annotation services, including YouTube video annotations, live video annotations, Facebook video annotations, and more, to help you create annotated bibliography videos. All this makes us one of the leading video annotation services companies in India, the USA, and the UK. Therefore, get best-in-class video annotation for machine learning and computer visions now!
95% HIGH ACCURACY
Our video labeling services will provide guaranteed high-quality video annotation with specific stress on high accuracy.
FAST TURNAROUND TIME
Train your Computer Vision Models better and faster with highly accurate, business-relevant, and consistent video datasets with our video annotation team.
COST-EFFECTIVE PRICING
Our pricing plan is tailored to fit within your video annotation project budget, allowing room for negotiations and agreements.
DATA SECURITY.
At Annotation Box, we fully commit to data security and have invested heavily to ensure that the data you provide remains with us.
INDUSTRY-SPECIFIC.
With over six years of experience, we are a leading video annotation company specializing in Insurance, Retail, Healthcare, Education, FMCG, and more.
DATA SECURITY
INDUSTRY-SPECIFIC
With over six years of experience, we are a leading video annotation company specializing in Insurance, Retail, Healthcare, Education, FMCG, and more.
Why Choose Us To Annotate Video Data For Machine Learning Models?
At Annotation Box, our data annotation services are tailored to fit specific client video annotation project needs. Our experienced video annotation experts will collaborate throughout your annotation project to create high-quality video annotations.
1000+
Trained Experts
95%+
Accuracy
50+
Happy Clients
450+
Successful Projects
Get Us Onboard For Video Annotation Services
Outsourcing video annotation can make or break your project, and at Annotation Box, we promise to work together to achieve your project’s success.
How Do Video Annotation Services Work?
Get data annotation service in just five simple steps.
STEP : 1
Project Assessment
Upon receiving the inquiry, our team will discuss your specific data annotation requirements to gain a comprehensive understanding. Then, our experts will suggest the best way to approach your project, making sure it fits your goals and expectations.
STEP : 2
Sample Data Labeling
First, we’ll label some of your data during the sample review phase. This will give you insight into our methods and quality of work. You can then check the labeled data and provide feedback to ensure it meets your standards.
STEP : 3
Training
Once you’re happy with our sample, we’ll give our team in-depth training to ensure they have the skills and knowledge they need for your project. This will help them provide high-quality annotations that fit your project requirements well.
STEP : 4
Production
During the production phase, a project manager will oversee the entire annotation process. This is to ensure all tasks are done accurately as well as on time. Moreover this will also will ensure that the project goes well and meets your expectations.
STEP : 5
Evaluation
We stay in touch throughout the project, updating you on progress and any changes. Our team is flexible as well as can easily fit any changes or extra needs, ensuring your project runs smoothly.
STEP : 1
Project Assessment
Upon receiving the inquiry, our team will discuss your specific data annotation requirements to gain a comprehensive understanding. Then, our experts will suggest the best way to approach your project, making sure it fits your goals and expectations
STEP : 2
Sample Data Labeling
First, we’ll label some of your data during the sample review phase. This will give you insight into our methods and quality of work. You can then check the labeled data and provide feedback to ensure it meets your standards
STEP : 3
Training
Once you’re happy with our sample, we’ll give our team in-depth training to ensure they have the skills and knowledge they need for your project. This will help them provide high-quality annotations that fit your project requirements well
STEP : 4
Production
During the production phase, a project manager will oversee the entire annotation process. This is to ensure all tasks are done accurately as well as on time. Moreover this will also will ensure that the project goes well and meets your expectations
STEP : 5
Evaluation
We stay in touch throughout the project, updating you on progress and any changes. Our team is flexible as well as can easily fit any changes or extra needs, ensuring your project runs smoothly
Industries That Need Video Annotation Services
Video annotation is a valuable tool for advancing AI in many industries. It provides more helpful information than image annotation, including more data on the object’s context. While it is more time-consuming, video annotation is applicable in several industries, as discussed below. But that’s not all, we even offer video annotation for financial services and other industries.
Autonomous vehicles
Video annotation for autonomous vehicles, which seemed a distant dream, is becoming a reality. Video annotation helps create training datasets for training computer vision-based models to recognize objects in the real world. It mainly helps Lidar for self-driving vehicles learning to identify lanes on roads and other objects of interest, such as powerlines and sidewalks.
healthcare
Video annotation for healthcare helps physicians and medical practitioners train medical AI to identify specific cells in the body as observed under the microscope. Medical video annotation services also help machine learning algorithms understand medical videos and help in medical diagnosis. Therefore, we use the best and most customized medical video annotation tools for all medical video annotation needs.
retail & e-commerce
Video annotation for retail and eCommerce stores uses annotated video data to train machine learning algorithms to identify stock levels continuously. Together with deep learning, AI model training is done to understand and predict human movements in stores and e-commerce platforms, informing where to place the most selling products. Thus, video annotation for retail stores is as essential as it if for other sectors.
manufacturing
Video annotation for manufacturing: this machine learning model is trained using annotated video footage to understand and perform highly repetitive tasks in the manufacturing process. Each frame in the video footage is annotated to capture certain events of interest. The resulting data sets then help to train AI models to understand the objects or perform the requisite tasks.
Geospatial technology
Video animation for geospatial technology clips is annotated to train machine learning models to interpret satellite and drone footage. The AI algorithms training is done to identify features, patterns, as well as terrains on the ground that are useful in identifying and planning natural resources. For instance, through AI, scientists can recognize land use changes contributing to the drying of wetlands in different areas worldwide.
government
Across the world, video annotation for governments is implementing artificial intelligence to help secure borders, monitor maritime activities, and maintain security through early threat detection in crowded places. Annotated video data helps train AI models to understand human emotions and expressions that, together with computer vision, are then used to analyze human intent, which is helpful in threat detection by law enforcement.
sports & games
Video annotation for sports and games plays a critical role through virtual-assisted referees. High-quality datasets are used to train machine learning models to understand the actions of one object relative to other objects. For instance, AI models in football are trained to understand the ball’s position relative to the player’s body as well as decide whether a foul has occurred.
security & Surveillance
Video annotation for security uses video datasets to identify and distinguish between different individuals in a crowd. It’s helps in security and surveillance, where security companies use facial recognition to identify people doing crimes. Furthermore, AI algorithms are trained using annotated videos to identify individuals carrying out specific acts, such as shoplifting or exhibiting certain facial expressions, which is helpful in the surveillance of retail stores.
Our Success Stories
Training Autonomous Vehicles with High-Quality Video Annotation
Optimizing Sports Analytics with Advanced Video Annotation
Enhancing Autonomous Drone Navigation with Precise Video Annotation
Video Annotation Services – FAQs
Here are answers to some of the common questions you might have about video annotation machine learning services.
What Is Video Labeling?
Video data labeling identifies and tags objects, actions, and other elements in a video to provide context and facilitate a better understanding of the visual content. Machine learning algorithms and human annotators annotate video frames to help train computer vision models for various applications, including surveillance, autonomous driving, and video content analysis.
When Is Video Annotation Used?
Video annotation should also be used when the context of an action or object is vital to helping AI make the right decision. For instance, a person may shoplift an item and later return it. Unlike image annotation, video annotation provides context for item returns.
What Does A Video Annotator Do?
A video Annotator plays an important role in analyzing and categorizing vdieo data with precision. By providing accurately annotated information, they contribute significantly to developing machine learning models. Contact us now to get a comprehensive range of video annotation services from the best annotators!
Is Video Annotation Services Costly?
Annotating video is time-consuming and generally costs more as one video clip has multiple frames. Depending on the number of objects of interest in each frame, video annotation is more cost-effective than image annotation, as a client can get more objects annotated.
What Is Video Annotation Software?
Video annotation software refers to the tool that allows users to add text, drawings, and other annotations directly onto videos for various purposes. This includes adding comments, highlighting important points, and providing additional context. It helps in education, research, and video production to enhance the viewing experience and submit supplementary information to viewers.
How To Annotate Or Label Video Data?
Video annotation plays an important role in the process of annotating text video. By using annotation services for computer vision models, one can efficiently annotate videos online to label them and provide video training data.
How Many Videos Should I Use In My Project?
Creating high-quality training datasets requires vast volumes of video data. The number is primarily driven by the scale and scope of the project and the machine learning models used for training. Therefore, it is only possible to give specific numbers once the project objectives and scare are adequately known. However, training datasets should be enough for training and testing the model.
What Is A Video Annotation Outsourcing Service?
A video annotation outsourcing service helps add metadata, label objects, and annotate videos. Businesses, research institutions, or organizations with a large volume of video content for video analysis and data collection use it.