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In both scenarios, there is the risk of missed deadlines, and these approaches can become costly without delivering guaranteed results.
CVAT.ai Labeling Service stands out as a highly recognized data annotation service. CVAT.ai effectively addresses these issues, offering a reliable solution for your annotation tasks without the drawbacks typically associated with either of two approaches. By choosing CVAT.ai, you benefit from the expertise of a team that has developed one of the most popular open-source data annotation platforms for computer vision domain and has over 10 years of experience in the field.
This article answers four question:
CVAT.ai labeling services are available to everyone, whether you are a small team requiring a little assistance within limited resources or a large company with extensive data to annotate.
Below, we outline why CVAT.ai stands out among other annotation and labeling services.
Securing Your Projects with Excellence
We proudly own and develop the CVAT.ai, renowned as a leading data annotation platform in the computer vision field. Our modern and efficient tool supports all major data annotation scenarios and is compatible with a variety of data import/export formats.
Mature Team and Flawless Project Management
CVAT.ai team consists of seasoned professionals, each bringing years of expertise in data annotation to ensure that your projects are handled with the utmost proficiency and care. We prioritize direct communication, allowing you to engage with a dedicated manager for personalized service.
Qualified Annotators
Our team consists of highly skilled annotators, trained and certified directly by us.They are distributed worldwide, and we select the best annotators from various countries, including Kenya, India, Vietnam, Pakistan, Nigeria, and others. With their extensive experience in data annotation, they handle your projects with expertise and precision, tailored to meet your specific needs and requirements.
Scalability of the Team
Our infrastructure allows us to rapidly expand our team of annotators to meet the demands of any project size. Whether your project needs 5 or 200 annotators, we can adjust our team size to deliver high-quality results on time.
We are qualified to train new annotators, ensuring they meet standards of quality and precision. This flexible scalability means we can efficiently handle significant increases in workload, guaranteeing that we always deliver high-quality results within your project timelines, regardless of the project's scope.
High Quality of Annotations
At CVAT.ai, we are committed to maintaining the highest quality of annotation across all projects. Our strict quality control measures ensure that every annotator achieves and upholds specified standards.
We use advanced tools and methodologies to deliver precise, accurate, and consistent data annotations.
Automated QA
To ensure top quality in our labeling services, we use Automated QA (Quality Assurance). CVAT.ai platform uses algorithms to check the annotated data automatically, comparing it against a set of correct answers (“honey pots”) to spot any errors quickly and evaluate annotation quality for a whole dataset statistically.
This method boosts the accuracy of data annotation, cuts down on time and costs for manual checks, and is especially useful for large projects where checking everything by hand isn't practical.
Commitment to Timeliness
At CVAT.ai, we maintain high-quality standards and strict adherence to deadlines, which helps us manage urgent projects effectively. For perspective on our timelines: small projects usually take less than one month for annotation. For larger projects, we can adjust to requested deadlines by mobilizing a bigger team of annotators when necessary.
These stages represent a workflow designed to ensure high-quality results in data annotation projects, The workflow is based on the effective communication and collaboration between the customer and CVAT throughout the process.
Stage 1: Annotation Proof of Concept (PoC)
From you:
From us:
We are ready to launch a Proof of Concept (PoC) within one day after receiving the data and can provide an accurate estimate and calculations within 3-5 days, depending on the project. Typically, the final budget deviates from the initial estimate by no more than 10% in either direction.
Stage 2: Documentation & Preparation
From you:
From us:
It will take up to one week to process documents from our side, assuming there are no delays from your side. For urgent projects, we can begin training the team and annotating data at this stage, without waiting for the completion of bureaucratic procedures.
Stage 3: Annotation
From you:
From us:
Most projects are completed within one month.
Stage 4: Validation
From you:
From us:
From our side, we will conduct the final validation and provide a final report within one week.
Stage 5: Acceptance
From you:
Here is a detailed description of various estimation and payment models for CVAT.ai labeling services, elaborating on the methods and conditions:
Different Estimation and Payment Models:
Expected Project Budget Limits:
Discounts:
These payment models offer flexibility to accommodate a wide range of projects, from straightforward image annotation to complex projects involving advanced AI technologies and extensive quality assurance. The pricing structure and discounts incentivize larger and longer-term engagements by providing cost benefits as project scopes increase.
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