Video Annotation Services

Delivering quality service with vast experience in providing annotated datasets using various types of data annotation over the years.

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Video Annotation and machine Intelligence at Triyock BPO

The technique of tracking, recognising, and classifying every object, body, tool, or instrument visible on video footage is known as video annotation. In the training of computer vision models, video annotation is extremely important. Breaking down the video into frames and preparing all of these frames using various ways is required for video annotation for machine learning. The actual number of frames that must be annotated will be determined by the video's duration and frame rate (fps). Because of the intrinsic semantic complexity, volume of data in videos, hundreds of potential classifiers, and data set quality compliances, among other things, it's more difficult than picture annotation

Triyock provides Video Annotation Outsourcing Services to assist businesses in improving machine learning technologies such as self-driving cars, human monitoring algorithms, and surveillance. In fields such as healthcare, robotics, geospatial technology, and autonomous technology, we've worked with numerous significant organisations and Fortune 1000 firms.

Video Annotation

Core Services Offered

Our services also include entity linking, phrase crunching, semantic segmentation, Classification, event Tracking, object localization, data labelling, image annotation, and related services to meet your business requirement.

2D Box

This annotation approach includes superimposing a rectangular 2D box over each frame's object of interest, which aids the system in identifying the things in the actual world

3D Boxes

3D boxes provide the system with more information about the items in the image, such as their length, breadth, and height. As a result, it is significantly more accurate than the previous 2D box technique. It is frequently used to annotate movies for the automobile industry in order for the system to comprehend the traffic condition. Algorithms for the operation of robots and drones are also created with this technology.

Lines and splines

This annotation technique is used to draw lines between different parts of an image. It can, however, be utilised for annotations in which a specific region has to be tagged as a border.

Pose estimation

Polygons can be used to annotate oddly shaped photos that don't fit into rectangular frames. It recognises the object's actual shape and size, as well as ensuring more precise localisation.

Landmarks

Using this strategy, keypoints are placed over the region of interest. For motion tracking, face landmark detection, and hand gesture identification, precisely identify form changes.

Labelling or Tagging

The objects in the frames are tagged or labelled with data annotations and is widely known as Object Detection. This teaches the machine learning system how to recognise real-world items.

Industries We Serve

Our expert video annotation services empower organizations across multiple industries by delivering precise, frame-by-frame labeled data for training robust computer vision models.

Automotive & Autonomous Vehicles

Train self-driving algorithms with bounding boxes, lane tracking, and semantic segmentation for safer navigation.

Healthcare & Medical

Enhance surgical robotics and diagnostic AI with precisely annotated medical imaging and endoscopic video data.

Retail & E-commerce

Optimize cashier-less checkout, customer tracking, and inventory management with behavioral video analysis.

Security & Surveillance

Improve threat detection and crowd monitoring algorithms through accurate action recognition and object tracking.

Sports & Entertainment

Enable advanced player tracking, pose estimation, and automated highlight generation for sports analytics.

Agriculture

Power smart farming equipment with video data labeled for crop health analysis, weed detection, and harvest automation.

Logistics & Manufacturing

Streamline supply chains and assembly lines with defect detection and robotic process automation video labeling.

Benefits of outsourcing data annotation to Triyock

Get best video labelling services at 50% ROI.

Team of experienced annotators

Dedicated project manager

Quality assured service with ISO 9001-2015 standard

Quick service to meet project timelines

Provides the 24*7 support for projects

Years of experience with Exceptional collaboration skills

Advantages of Video Annotation outsourcing

Scale up your ML projects

With the help of a worldwide workforce, Triyock’s experts can scale up your machine learning initiatives to satisfy any unique customer requirement through its Video Annotation Services.

Cost Optimization

Because our teams specialise in video annotation, we can provide you with services at a fraction of the expense of doing it in-house.

Multi-dimensional Support

Only reliable and time-tested quality management methodologies and control measures are used by our outsourcing organisation. We provide 24x 7 customer services.

Confidentiality and Security

Triyock's systems are entirely secure, ensuring that our clients' data is kept safe. Use Triyock Video Annotation Services with guarantee of 100% security of your data.

Professional Excellence

When you outsource to Triyock for Video Annotation Services, you have access to our highly skilled team of annotators. We have the ability to handle large amounts of complicated data while maintaining accuracy. Our Quality Assurance team ensures that every job is completed with the utmost professionalism.

Why Choose Triyock BPO?

Triyock BPO delivers highly accurate and scalable video annotation services backed by state-of-the-art tooling, domain expertise, and a skilled workforce. Our frame-level precision ensures your computer vision models perform flawlessly in the real world.

  • Expert Annotators: Highly trained workforce skilled in complex video tracking, interpolation, and labeling techniques.
  • Advanced Tooling: Proficiency in top-tier annotation platforms handling 2D/3D bounding boxes, polygons, and keypoints.
  • Frame-by-Frame Precision: High-quality spatial and temporal tracking to ensure object consistency across sequential frames.
  • Scalable Operations: Flexible workforce ready to ramp up quickly for large-scale, high-volume video datasets.
  • Rigorous QA Process: Multi-tier quality assurance and validation checks to maintain near 100% accuracy rates.
  • Strict Data Security: ISO-aligned, secure IT environments and NDA protocols to protect your proprietary video footage.

High-Performing Computer Vision

Accurate video annotation is the backbone of reliable AI models. Our services provide the ground truth needed for:

  • Object Tracking: Seamless multi-object tracking (MOT) across dynamic scenes.
  • Action Recognition: Accurate temporal labeling of human or machine activities.
  • Pose Estimation: Precise keypoint annotation for complex movement analysis.
  • Semantic Segmentation: Pixel-perfect masking for highly detailed visual scenes.
  • Model Validation: Robust, edge-case datasets to test and eliminate algorithmic bias.

Case Studies

Want to minimize costs and get accurate results. We can help you.

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