Achieve Your AI Goals with Data Annotation VA

Ensure higher accuracy with manual data annotation without worrying about the expenses.

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Like everyone else, you too, need high-quality data annotation. But…

You need a huge quantity of labeled data when it comes to training AI and ML models. And you can get it in two ways. Either you find high-quality training data and buy it, or you hire expert data annotators to form a team who’ll work with raw data sets (a more feasible alternative). But, to get a massive amount of labeled data, you also need to hire a colossal workforce capable of producing the ginormous volume of labeled data.

If it takes 15 minutes (depending on various factors) to annotate an image, a project with up to 40,000 images would require an expert annotator to spend 10,000 hours on it.

This is a problem.

As many businesses don’t have enough resources to spend on enormous in-house teams, and getting local talent sufficient to meet the emerging requirements is becoming tougher, it is high time to find a sustainable way.

Expert data annotators working remotely can be a perfect solution.

You avoid the minimum wage law of your country and only pay for the tasks completed. That means a significant amount of money saved while ensuring that you get high-quality data with manual data annotation. And it is best to outsource to offshore companies who have experts with hours of experience in annotative data work.

Why outsource your data annotation?

Manual annotation is known to be slow and hard to scale although highly accurate and have deep understanding of data. Automated annotation, on the other hand, is a popular option for its speed and cost-effectiveness, but lacks accuracy and struggles to get the context.

But what if we can remove the disadvantages of manual automation?

With our outsourcing model, we ensure high quality data at a faster speed by leveraging experts.

Then why not go for the annotation process that is inexpensive, highly accurate, captures complex context, faster than ever, adapts to new data trends quickly, requires no setup and complicated management?

What are the benefits of delegating data annotation to experts?

  • Higher Efficiency

Accurate data labeling will allow ML systems to become more efficient in identifying intent, sentiment, objects, words, etc.

  • Greater Accuracy

Error-free annotation means high-quality training data which leads to a higher degree of accuracy in data extraction in the future.

  • High Scalability

Outsourcing data annotation to expert virtual assistants allows you to scale your projects according to requirements.

  • Less Intervention

With more precise output of the AI model (result of high-quality training data) it takes less human intervention in the future.

What data annotation and labeling services DedicatedVA can offer?

  • Image Annotation Services

  • Semantic Segmentation

  • Instance Segmentation

  • Text Annotation

  • Sentiment Analysis

  • Entity Classification

  • Named-entity Recognition (NER)

  • Intent Analysis

  • Audio Processing

  • NLP Data Labeling

  • Video Annotation

  • Polygon Annotation

  • Keypoint Annotation

  • Bounding Box Annotation

  • Lidar and Geospatial Annotation

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Get Started,

with DedicatedVA Data Annotation Services.

DedicatedVA gives easy access to your dream team of world-class subject matter experts and data annotators
but costs only a fraction of what it would cost if you do it in-house.

Pricing

Your data annotation VAs will work from India and will only require payment for the task completed. You don’t have to pay for anything extra.

Security

DedicatedVA takes data security very seriously. We use a business-grade security system to ensure that our clients’ data is safe with us.

Experts

We take full advantage of the large Indian talent pool to search and employ the perfect individuals for each role via a thorough selection process.