Video data labeling process or video data annotation for machine learning is a means of tagging information in a video to improve its visibility and usability in training ML algorithms. Basically, data labeling entails adding metadata information to video datasets including specific data on people, objects, locations, and so much more.
Today, data labeling plays a critical role in multiple industries where video classification services are essential. Whether it’s in the development of motion detection systems, AI-based surveillance solutions, or gesture guidance apps, the role of a video labeler in creating high-quality, individualized data sets is indispensable. These labeled data sets are crucial for training machine learning algorithms and developing accurate computer vision models. However, the growing demand for specialized video data labeling for both ML models and AI training makes it challenging for companies to source and recruit qualified candidates for video labeling positions.
Luckily for you, our agency can help recruit and build audio annotation and video labeling services for any business needs. Our professional data annotators deliver accurate, video annotations and data quality backsets to your company without compromising on high accuracy in the final results.
Video Labeling Services That We Can Assist With
Our agency offers a versatile approach to help you with data annotation in various sectors. Here are some of the services that the video labeling teams we help assemble can offer:
2D Bounding Boxes
One of the key techniques our teams specialize in is object detection through the use of bounding boxes. This video annotation method involves superimposing a rectangular 2D bounding box over the target object in each frame.
This technique is crucial for creating training data sets that enable machine learning models to accurately identify objects in real-world scenarios.
Bounding boxes are particularly useful in computer vision applications across multiple industries, including security, automotive, media, and entertainment.
3D Boxes
3D boxes offer AI and ML models more insights into objects in a video, specifically capturing the height, width, and length. This makes 3D point cloud image annotation relatively better and more accurate compared to 2D box annotation, especially when used in high-quality training datasets. In real-world applications, 3D boxes are commonly used to annotate videos for various models in the automotive industry. These include cycling and driving designated zones on the roads, providing the models with a more comprehensive understanding of the traffic situation when trained on high-quality datasets.
Lines and Splines Annotation
As the name suggests, this annotation method is primarily used to draw boundaries between parts of an image or video. It is mainly used in the automotive industry to define lane lines in the drivable zones of a road for autonomous vehicle perception models. Our professional data annotators will deliver accurate lines and splines annotation services.
Polygons Annotation
Labeling polygons helps train object detection and localization algorithms to identify objects that have irregular shapes like houses in aerial photography and street signs in traffic with a high degree of accuracy. Our image labeling experts deliver pixel-perfect polygon annotations derived from objects in your videos.
Landmarks & Keypoints Annotation
This video annotation process is used to precisely detect shape variations for facial landmark detection, motion tracking, and hand gesture recognition by placing key points on the areas of interest. Our video labeling team delivers fast, efficient, and accurate keypoint annotation over large volumes and multiple frames for facial recognition, object tracking, counting applications, and emotion detection.
Video Tagging
Data annotations tagging or labeling objects in the video frames is used to train an ML system to detect objects in the real world. It is also used to track people’s movements by tagging the sequence of events where all the specific actions are taking place with tags. Whether you want to annotate YouTube video or any other type of video, our agency will help you with any annotation needs.
Video Categorization & Classification
As the name suggests, video categorization is a process that involves assigning classes or categories to specific events individual images in a video. In the real world, video categorization is used to train ML and AI models to identify specific objects, actions and movements in VR, video gaming, and motion detection.
Video Data Analysis
Video data features loads of useful information that your own model training can use including license plates and motion of active audience. Whether you need to analyze video data on very large datasets on an ongoing basis or for example on a one-time project, our experienced data annotators will ensure a smooth engagement with precise results.
Video Transcription
Looking to outsource video transcription? Our video data annotation team will help to convert whatever is uttered on video into written text for captioning and subtitling purposes.
Industries Where Our Video Labelers Can Be Useful
Our dedicated video and data labeling team will help you to make your video datasets usable for labeling data pipelines and training your models. Below are some of the industries that our hires can work in:
Tech
Banking
Healthcare
Waste Management
Agriculture
Manufacturing
Ecommerce
Retail
Flexible Models of Cooperation We Offer
Diving into the complexities of video annotation requires a strategic approach. Explore our diverse service options below, each tailored to meet varying project demands and budgetary guidelines, ensuring a seamless fit for your goals.
Managed Video Annotation Services
Adapt our services to align with your distinct video annotation requirements. This adaptable model is crafted for those with particular needs, ensuring precision without the extra costs of unnecessary resources.
Flexible Part-time Video Annotation Support
Employ a part-time video annotator exclusively for your project. This arrangement is perfect for businesses mindful of their budget, as you’re billed only for the hours worked, avoiding a full-time salary commitment.
Dedicated Full-time Video Annotation Specialist
For projects that require continuous expertise and dedication, this choice guarantees a full-time professional devoted entirely to your video annotation tasks. With a monthly salary structure, you seamlessly add a dedicated expert to your team.
Why Partner with Our Data Labeling Specialists ?
According to recent statistics published by Grand View Research, the global outsourcing industry is projected to grow at a CAGR of 5.6% between now and 2027, generating an estimated $405.6 billion. With such huge prospects, staffing agencies keep on cropping up to have a bite of the cake.
Unfortunately, most of them are here to make passive income and not to take care of their client’s interests. So why should you trust us to help you build a video labeling team? Here are our four main reasons:
Experienced professionals
If you are looking to build and launch world-class AI solutions, our reliable hiring managers will ensure that you have the right team to collect and label your videos, images, text, audio, and any other data that you may use to build and continuously improve your artificial intelligence, machine learning, or NLP systems.
Access to global talent
One of the primary reasons why companies outsource is to bridge the in-house skills gap. Ideally, hiring within the vicinity of the company may seem like an ideal option. But with specialized roles like video labeling, it can be hard to find the talent locally. Luckily, our professional data annotation agency helps you access the best professionals, most of whom have worked with different companies and industries from all over the world.
Scalable teams
To us, video annotation outsourcing means offering our clients the best talent in the most cost-effective way possible by allowing you to scale your team upwards or downwards depending on your hiring needs.
Faster turn around
Thanks to our large pool of talented professionals and robust referral system, our hiring managers are able to rapidly build your team. Whether you are looking for video annotation, video semantic segmentation, or video data collection services, we’ve got the means to assemble the right team in record time.
How We Hire Our Annotation Video Professionals
Getting started with your own dedicated video annotation team is a piece of cake. Along with that, you can start small and scale your time as your annotation needs change with time.
Here’s a step-by-step process of how our hiring process plays out:
Find and Hire a Dedicated Video Annotator with Relevant Experience Below
Discover and engage a skilled video annotator with relevant expertise by browsing through our selection of dedicated professionals available for hire. Find the ideal candidate who can efficiently annotate your videos to improve computer vision models, ensuring accurate labeling, data quality control and analysis for your specific project requirements.
Video Annotation, 3D Point Cloud, Annotation, Speech Recognition
Object Detection, Anomaly Detection, Yield Estimation
Object Detection, 3D Segmentation, Face Retouching
Image Annotation, Text Semantic Analysis
Image Annotation, Visual Data Processing for ML applprojects
Data Processing, Data Categorization, CVAT Annotation
Image Annotation, Video Annotation, Audio Annotation, Text Semantic Analysis
Image Labeling, Text Annotation, Categorization, Qulity Assurance
Image Annotation, Video Annotation, Audio Annotation
Object Detection, 3D Segmentation, Face Retouching
Bounding Boxes, Polylines, Cloud Points, Anomaly Detection
Maksym – AI Video Labeling
Object Detsction, Intent Analysis, Anomaly Detection
Image Annotation, Video Labeling
3D Face Mesh, Face Landmarks, Head/Body Segmentation
Data Visualization and Annotation for Cybersecurity, Finance and Architecture Projects
Object Tracking, Action Recognition
Bounding boxes, Polygons, Semantic segmentation, Polylines, Cloud Points
Bounding Boxes, Polygons, Polylines
Image Annotation, Visual Data Processing for ML application
Object Detection, Anomaly Detection, Predictive Maintenance
Bounding Boxes, Plygon Annotation, Key-Point Annotation
Frequently Asked Questions about Video Annotation Services
What is video annotation?
Video labeling involves annotating video frames to identify and categorize various elements within them. This is crucial for using image sequences and training machine learning models, especially in applications like object tracking and detection, activity recognition, and more.
Why is video labeling important for machine learning?
Video labeling provides the annotated training data that machine learning algorithms need to learn and make predictions or decisions. Create training data sets through video labeling is essential for the performance of machine learning models in various applications such as surveillance, healthcare, and autonomous vehicles.
What types of video labeling services do you offer?
We offer a range of comprehensive set of video labeling services including object tracking, semantic segmentation, activity recognition, and keypoint video annotation tools among others. Our services are tailored to meet the unique requirements of your project.
What video annotation tool do you use for labeling?
We utilize a suite of state-of-the-art video annotation tools to ensure high-quality and accurate labeling. These tools offer a range of advanced features such as object tracking, semantic segmentation, and keypoint annotation, among others. Our tools are designed to be highly intuitive, allowing our expert annotators to work efficiently while maintaining the highest standards of quality. Additionally, our tools are regularly updated to incorporate the latest advancements in machine learning and artificial intelligence, ensuring that your project benefits from the most cutting-edge technology available.
How do you ensure the quality of labeled data?
Our team of expert annotators undergo rigorous training and follow strict quality assurance protocols. We also use advanced tools, data scientists and other software and technologies to ensure the highest level of accuracy in our video labeling services.
Is my data secure with Remote Labeler?
Absolutely. Data security is our top priority. We adhere to industry-standard security protocols and ensure that all data is encrypted during transfer and storage.
Can I scale my video labeling needs?
Yes, our services are designed to scale with your project needs. You can start with a small dedicated team and expand as your project grows.
What industries do you serve?
We serve a wide range of industries including healthcare, automotive, retail, entertainment, and more. Our video labeling services are versatile and can be adapted to any industry’s specific needs.
How quickly can you complete a video labeling project?
The timeline for project completion depends on various factors such as the volume of videos, complexity of the labeling task, and your specific requirements. Contact us for a customized timeline.
Do you offer real-time video labeling services?
Yes, we do offer real-time video labeling services for specific use-cases such as surveillance and live event monitoring. Please contact us to discuss your real-time requirements.
How do I get started?
Getting started is simple. Contact us through the form on our website or give us a call to discuss your project needs. We’ll provide a customized quote and timeline based on your specific requirements.