High-End Video Annotation Services for Computer Vision

Unleash the full potential of computer vision with professionally annotated datasets by using a video annotation service from Label Your Data

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We Scale Teams for:

ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX
ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX
ABB – ASEA Brown Boveri
Uipath
Yale
Bizerba
George Washington University
Toptal
Miami University
Hypatos
NEX

Video Annotation Services at Label Your Data

We deliver expert video annotation services for all types of data labeling. To achieve the optimum price-performance ratio, Label Your Data makes every effort to fine-tune the quality and throughput of your video annotation tasks

Bounding Boxes
Key Points
Polylines
3D Cuboids
Bounding Boxes

Bounding Boxes

This kind of video annotation our clients require most of the time. To detect and locate objects in the footage, our video annotation experts use bounding boxes to track objects in the video and generate training data. We also use bounding boxes for action recognition for a detailed activity analysis in the videos.

Key Points

Key Points

Keypoint or landmark annotation helps us with picking up on physical characteristics of the body (i.e., facial expressions or body postures and movements). Our annotators connect individual points across the objects to outline them and form variations. Using keypoints, we can produce accurate datasets for CV models aimed at analyzing human movements in the videos.

Polylines

Polylines

When we annotate a video file and there are objects that are static by nature yet might change from frame to frame in video datasets, we use polylines. These are short lines joined at vertices that help us define the linear structures and trace the outline and geometry of things like highways, train tracks, or pipelines.

3D Cuboids

3D Cuboids

This is the process of drawing three-dimensional boxes over an object in the video. Video annotation for computer vision using 3D cuboids can be applied for a number of industries, including automotive sector and robotics. It also works great for object detection and tracking tasks, especially those where depth perception is crucial.

Exclusive Benefits of Our Video Annotation Services

Label Your Data is the ideal option to level up your computer vision skills and meet training data requirements as a video annotation services provider with 10 years of industry experience.

Your pain points in video annotation process that we can solve:

Certified Security

Certified Security

Security is the top benefit you can ask for when you decide to outsource video annotation services. Oftentimes, we work with CCTV footage containing sensitive data. We’ve had a team of 200 office-based annotators who were annotating CCTV footage in our PCI DSS compliant offices because the videos contained people’s faces, which is PII (Personally Identifiable Information).

Versatility

Versatility

Label Your Data supports any kind of data format. If you are not sure how to prepare the video for annotation, you can just give us your dataset, and we will split the videos into a suitable number of frames. Also, there are no requirements for input data: you can send your videos with clarifications of what FPS (frames per second) rate is required, or already cut frames.

Automation

Automation

Our video annotation company uses an in-house version of the annotation selection tool. This includes the possibility of automated box annotation, which allows saving time on the markup of similar frames. We also offer our annotation software, which can do interpolation, resulting in a shorter turnaround time and more competitive pricing of our video annotation service.

Free Pilot

Free Pilot

Label Your Data offers a free pilot project to demonstrate our expertise and negotiate key project requirements. All you need is to send us your data and specify all the details. By running a pilot, you can better estimate the runtime, assess the performance of our annotators, the QA process, and improve your project goals.

How We Handle Your Video Data

For successful model performance, our team follows a nuanced methodology that relies on high-caliber video annotation process:

Data collection

Data collection

First, we gather the video data. Data collection usually happens on the client’s side. But if you don’t supply any data, our team performs data collection at your request. In this case, you determine the type of data to gather, the volume, and the method for acquiring it.

Project requirements

Project requirements

At this stage, we coordinate with you the key project details. Together, we decide on the process, policies, data labeling criteria, and annotation tools to create a complete training dataset for their CV model. We have a flexible annotation infrastructure, and we can offer our solutions or use your tools.

Pilot

Pilot

As we receive the first batch of data, our annotators run a small annotation sample to verify all the edge cases with you. A free pilot helps decide whether our video annotation service can satisfy your demands. Setting realistic quality, timeliness, and productivity goals for the team are essential at this stage.

Full-scale video annotation

Full-scale video annotation

Once the pilot is done and the results are satisfactory, we proceed to full-scale annotation by assigning a dedicated team to the project. Our annotators work for 8 to 10 hours each day. On request, we can set up on-site teams and provide the option of working in the office. In some cases, we use labeling tools and predictive models to automate simple tasks.

Quality assurance

Quality assurance

Before sending the completed annotations, we ensure their quality and validity. Our QA specialists and project managers implement a tight quality control. To ensure the number of mistakes is negligible, Label Your Data delivers a thorough QA. We locate data drift and anomalies that may necessitate additional labeling procedures.

Why Choose Label Your Data?

Our 10+ years of experience in building remote teams allows us to expertly navigate 500+ data annotators and provide high-quality video annotation services in 55 languages. If you choose to outsource video annotation services to us, you choose the winning mix of quality, speed, and security of your video data.

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FAQs

How to annotate videos for computer vision?

Video annotation in computer vision may be laborious. So, hiring a company that specializes in video annotation services for computer vision models, like Label Your Data, could be a smart move.

Why do you need a video annotation process in computer vision?

The labeled video data helps machines recognize or track objects in the video and, thus, makes computer vision algorithms more accurate and reliable.

What does a video annotator do?

To train CV models to recognize or identify things in the video, a video annotator assigns the right labels to it by performing a frame-by-frame annotation.

What is a video segmentation system?

It’s the division of a video stream into discrete groups of related frames. The most popular segmentation techniques divide video into shots, camera-takes, or scenes.