Powering the Next Generation of Visual Intelligence
Catalyzing Annotation and Labeling for Computer Vision
Computer vision models are only as good as the data they’re trained on. Our professional annotation and labeling services provide the high-quality training data that powers breakthrough visual AI solutions across industries.
NLPC scales the Computer Vision Annotation and Labeling process for you.
Trusted partner for Computer Vision Labeling and Annotation service for Better AI
Labeling for Computer Vision
Image labeling and annotation for computer vision involves any of the following techniques
The technique draws a box around the object of interest on the image. It is used in objects that are fairly symmetrical, such as pedestrians, cars, and street signs.
This is used to hide or highlight certain areas in an image. At NLPC we have also used it to mask personal data (faces).
With a polyline, the data analyst manually creates continuous lines consisting of one or several segments.
With landmarking, our data analysts plot features in the data. This is typically used in facial recognition to identify facial features, emotions, and expressions.
Are similar to bounding boxes but provide additional depth information about the object. Use 3D cuboids to get a 3D representation of the object, allowing systems to distinguish features like volume and position in a 3D space.
Is used to mark and trail the movement of a given object [the target] across several video frames.
These are brief text explanations to help understand how and why something on the screen. They typically appear on the side or bottom of a wireframe, describing the functional purpose of individual elements or of the screens.
This technique is used to highlight the vertices or highest points of the object of interest in an image.
This technique is used to mark the text found in videos or images.
Computer Vision Annotation & Labeling: Our Workforce and Budget Commitment
Closed budget? Tight deadlines? No Computer Annotation platform? Not to worry… NLPC is used to work with strict deadlines and to budget and uses state-of-the-art Computer Vision annotation software.
You can count on elastic, fully managed, end-to-end data annotation service for one, inclusive price. And if you don’t have your own platform, we will recommend the option for your particular image / video project. In our packaged solutions, all of the software and workforce is included, simplifying your experience so you can focus on innovation.
Expertise and quality for any Computer Vision Data Labeling and Annotation use case
Our Proven Process for Computer Vision Annotation & Labeling
- Requirements Analysis: We work with you to understand your specific model needs, annotation protocols, and quality benchmarks.
- Pilot Project: A small-scale test project ensures alignment with your expectations before moving to full production.
- Workforce Assignment: We match your project with annotators who have domain expertise in your field.
- Multi-Layer Quality Control: Our rigorous QA process includes automated checks, peer reviews, and expert validation.
- Continuous Feedback Loop: Ongoing communication ensures we adapt to evolving project requirements.
- Secure Delivery: Annotated datasets are delivered securely in your preferred format, ready for training.
It is said that Artificial Intelligence is the science that uses computers and machines to mimic the reasoning abilities that we humans use intuitively for problem-solving and decision-making. We help you to train machines to interpret and understand the visual world that we humans understand intuitively.
For Computer Vision algorithms to “see” like humans, a high volume of accurately labeled training data is needed, and there many ways to obtain such data….
Of course you could send your Computer Vision labeling project to an unknown crowd, an unscrupulous vendor or outsourcer, or even API them to a faceless platform. But if you want to stand proud and differentiate yourself from the competition, your project and training data needs are unique – and this is where NLPC helps.
From masking to identify persons and anonymize their identities to the use of polygons or bounding boxes, from object tracking to semantic segmentation and keypoint annotation, our experienced data analysts apply years of experience and best practices. And you only reach that experience after annotating millions of images and videos for the most demanding use cases that require best-in-class data labeling for computer vision… as we have done for leaders around the world.
Why Choose Us
Why Choose NLP CONSULTANCY?
Our team is made up of Machine Learning and Deep Learning engineers, linguists, software personnel with years of experience in the development of machine translation and other NLP systems.
We don’t just sell data – we understand your business case.
We offer specialized annotation teams across healthcare, automotive, retail, agriculture, and security domains—ensuring annotators understand the context of what they're labeling. Our worldwide teams have been carefully picked and have served hundreds of clients across thousands of use cases, from the from simple to the most demanding.
Whether you need hundreds or millions of labeled images, our flexible workforce and robust processes ensure consistent quality at any volume. We have a proven record of successfully delivering accurate data in a secure way, on time and on budget. Our processes are designed to scale and also change with your growing needs and projects.
Do you need a regular influx of annotated data services? Are you working on a yearly budget? Our contract terms include all you need to predict ROI and succeed thanks to predictable hourly pricing designed to remove the risk of hidden costs.
Ready to get started? We are.
We’d love the opportunity to answer your questions or learn more about your project. Let us know how we can help.
