How Data Annotation Platforms Aid in the Improvement of Machine Learning Models


Introduction

AI has become less of a glamorous new idea in recent years and more mainstream, with a wide range of firms incorporating AI technology and machine learning models into their business procedures. And, as the world generates ever-increasing amounts of data, the data you require for your unique use case is very certainly already there and waiting for you to claim it. The main issue that organizations that are new to beginning AI initiatives encounter is that they are unaware of all of the labor that goes into gathering, preparing, and testing their data. When you first receive your data, it will be unfiltered and raw. While the data has enormous potential, it must first be properly prepared and categorized before it can be used. Platforms for data annotation are what you need to get the proper, high-quality data for your use case. Choosing the best data annotation platform for your needs is critical to the successful design and deployment of AI algorithms and machine learning models.

What is Data Annotation?

Your data must be annotated before it can be used. The practice of labelling your data is known as data annotation. You can label your data yourself, employ a third-party data annotation partner, or apply machine learning automation. Even with machine learning automation, data annotation requires human supervision. To annotate your data, it must be processed, tagged, and labelled in accordance with what the data piece is or represents. Data is available in a variety of media, including text dataset, photos, and videos. Your annotations or labels ensure that your machine learning model can read the data. One of the most important factors in the success of your machine learning model is correctly labelled data. Your machine learning model will not be able to produce reliable results if the data is of poor quality or incorrectly tagged. The accuracy of data is crucial.

What is the difference between Data Annotation Tools and Platforms?

A data annotation tool or platform is a tool that you may buy, use for free, or pay an external partner to annotate and classify your raw data before using it. There are various sorts of data annotation tools and platforms available; the best one for your firm will be determined by your individual demands and use case. Many data annotation platforms specialize in labelling particular types of data or in handling data for specific use cases. While there are free data annotation tools available, premium tools and external partner platforms will help you produce higher quality data, increasing the ROI on your AI project or machine learning model.’

What to Think About When Choosing a Data Annotation Platform

There are a number of different elements to consider while looking for the ideal data annotation tool for your firm before entering into an arrangement or collaboration. You should look for a data annotation platform that is tailored to your specific requirements and use case.

Data Accuracy

The accuracy with which your data is labelled determines data quality. The greater the accuracy, the better your data will perform and the greater the ROI on your machine learning model. You'll get garbage out if you put rubbish in. In general, the more expensive data annotation methods also yield the highest quality data. It's critical to consider whether quality or price is more important to you. Labeling data is a manual, human-led task. It takes a lot of effort and time. Look for a data annotation tool that guarantees a certain accuracy rate and focuses on providing AI training dataset.

Dataset Administration

Your data must first be assembled into a dataset before it can be annotated. When looking for a data annotation platform, you should consider how they handle their datasets. This will become an important component of your process, so make sure they can handle the large volume of data you need annotated and work in the file format you want. You must also ensure that the labelled data meets your data output standards.

Annotation Effectiveness

While data annotation is manual and requires human participation, it does not have to be time-consuming. You should look for a data annotation platform that can deliver clean, annotated data within the timescales you specify. Some organizations have a larger, more worldwide workforce, which means you'll get your data returned faster.

Particular Use Cases

Each machine learning or artificial intelligence project has a distinct use case and data type. You could be collaborating with text, photographs, audio, or video. Different data annotation platforms are designed to operate with different sorts of data. You should consider whether a data annotation platform is compatible with the type of data you require labelled. Examples of specific applications include: 

Video or image

  • Classification
  • Polygons
  • Polylines
  • Bounding boxes
  • 2D or 3D points
  • Segmentation
  • Tracking
  • Transcription
  • Interpolation

Text

  • Transcription
  • Sentiment analysis
  • Net entity relationships or NER
  • Parts of speech
  • Coreference resolution
  • dependency resolution

Audio

  • Labelling
  • Audio to text
  • Tagging
  • Time labeling

Interconnectivity

It may appear deceptively straightforward, but just like with any other digital product or software, you should ensure that the data annotation platform you select to work with will link to the many technologies you already use at your firm. The goal of interconnectivity is to make your life easier. There are numerous data annotation platforms available; you should choose one that can integrate with the technologies you already use.

Interconnectivity. It may appear deceptively straightforward, but just like with any other digital product or software, you should ensure that the data annotation platform you select to work with will link to the many technologies you already use at your firm. The goal of interconnectivity is to make your life easier. There are numerous image data annotation platforms available; you should choose one that can integrate with the technologies you already use.

Specialized Functions

Different data annotation platforms provide distinctive characteristics. Check out the various capabilities provided by any data annotation platform you're considering. What appears to be a minor feature or sales point might make or break your organization.

Support

As with any other technology, consider how your team will communicate with the personnel at your selected data annotation platform. Communication is critical to the success and timeliness of any project. It's critical that you'll have access to a team lead to check on the status of your project and resolve any issues that arise. You should also inquire about their help desk and support system.

Price

While money should not be an impediment to obtaining high-quality data for your AI project, the reality is that you most certainly have one. Data annotation systems and tools are available at all pricing points. Lower-cost platforms and solutions may not produce the finest quality data, but they may be your only alternative if money is tight.

Security

Before committing to a data annotation platform, it's vital that you study their security standards and regulations to understand what safeguards they use to keep your data safe. Here are a few safety features to check for in possible data annotation tools:

  • Providing data annotators with access to only the data that has been assigned to them
  • Stopping data downloads
  • Security of the file system and the cloud

Some data use cases will be subject to regulatory compliance obligations. If this is the case with your data, you'll need to choose a provider that can comply with these rules. This includes GDPR, HIPAA, SOC 1, SOC 2, PCI DSS, and SSAE 16.

How Can GTS Assist You With Data Annotation?

Global Technology Solutions may be able to assist you if you are seeking an external data collection partner and platform. Our primary goal is to provide high-quality data to our customers in a timely and effective manner. We provide data annotation software, SAAS products, and managed services to help you find the best solution for your annotation needs. While we do provide automatic data annotation, people are always kept in the loop to ensure accuracy and efficiency.

We offer one of the greatest and largest data annotation platforms in the world, with a distributed crowd of over 1 million data annotators in 170 different countries with knowledge in 235 different languages. We provide data annotation and data collection services like:

  • Image data collection
  • Annotation of an image
  • OCR Data collection
  • Annotated video
  • Speech Data collection
  • Video Data Collection
  • Text data collection
  • Annotations for tests, sensors, and audio

Whatever your labelling requirements are, we have the technology, people, and industry expertise to assist you in collecting, classifying, annotating, transcribing, and translating your data. Our Smart Labeling technology also ensures high-quality data.

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