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The News God > Blog > Education > How Data Labeling Accelerates AI Application in the Education Field?
Education

How Data Labeling Accelerates AI Application in the Education Field?

Rose Tillerson Bankson
Last updated: July 4, 2023 3:08 pm
Rose Tillerson Bankson - Editor
November 15, 2022
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How Data Labeling Accelerates AI Application in the Education Field?
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Different companies provide data annotation outsourcing for machine learning by utilizing cutting-edge techniques to ensure that each image is distinguishable to automated systems or computer vision software. Using the different modes of annotation, we can label or annotate different types of data or objects, such as cars, people, animals, trees, etc., based on what the client wants.

Contents
Recognition of SpeechTeaching one on oneData Labeling Tools:Applications:Services for labeling data to cut down on costsAnnotating videos for AI projects

Using tools like natural language processing (NLP), oworkers image recognition (IR), and optical character recognition (OCR), educators can assess each student’s learning style and shortcomings to tailor lessons to each individual’s needs.

When you look at AI in education, the three main ways it can be used are teaching, management, and evaluation. More specifically, technology that can recognize images can free teachers from having to grade homework.

Recognition of Speech

Technology that can recognize speech has been around for more than 50 years. Now, many kinds of software let us figure out what people say. The apps are for intelligent homes, mobile phones, video games, and virtual assistants.

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This method has seen widespread adoption as an alternative to traditional input methods—many speech recognition products, like Cortana, Google Assistant, Siri, etc.

If students have trouble with their English pronunciation on an oral exam, speech recognition technology can help teachers rectify their mistakes. AI teachers can give customized feedback to their students by talking to them through their voices.

Teaching one on one

It takes work to teach each student in a way that fits their personality. It’s essential to gather a lot of different kinds of data. Once the data has been collected, it should be marked correctly before the AI algorithm is trained.

Data Labeling Tools:

Annotation techniques include 2D and 3D box detection

  •  polygon detection
  •  optical character recognition
  •  image identification
  •  semantic segmentation
  • Video annotation
  • Voice annotation

Applications:

  • Keeping track of how students act in class
  • Speech recognition for personalized learning
  • OCR for a homework grade

We offer a free trial without requiring a credit card, during which you can request a sample, receive it in a short amount of time, examine its results, and provide direct feedback to our project manager.

Services for labeling data to cut down on costs

We offer data labeling and annotation services that few other AI companies can offer: Security, Accuracy, and Experience.

Hire a team of specialized data labelers and researchers to put labels on your images, videos, and documents. We deploy state-of-the-art AI automation on a trustworthy AI platform to provide you with the top-notch training datasets you want for even the most challenging applications.

Annotating videos for AI projects

Annotating videos helps AI models work in the real world, where things change quickly. People must find and label objects in each video frame to annotate a video. Managing this challenging task can be a big distraction for engineers and senior management at an AI company. Because of this, many innovators in computer vision to hire video annotation services. Annotation services ensure that AI projects get high-quality video data for training without worrying about management, training, and quality control.

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