AI IN GOVERNMENT

Labelify collaborates to deploy AI and Machine Learning in the Computer Vision, Natural Language Processing and Content Services ecosystems by enriching, annotating and labeling data.

Labelify’s secure and monitored facilities offer a reliable and efficient solution for sensitive data that requires processing for the public sector at the federal, state and local level, and helps institutions leverage Machine Learning for public good.

USE OF AI IN GOVERNMENT

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KEYPOINT ANNOTATION

Team labels outline shapes and objects by connecting points between images. This annotation type can detect body features and may include facial expressions.

For AI and Government applications, audio and handwriting transcription is used to transcribe text documents and audio clips.

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SEMANTIC SEGMENTATION

A photo can be broken down into components by the Labelify team and annotated by the CV experts. This allows them to identify desired objects at the pixel level.

Geospatial applications use point annotation to locate an object and its components in an image.

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POLYGON ANNOTATION

Expert annotators place points at each vertex of the target object in an image. Annotating objects with polygons allows for all edges to be marked, regardless of their shape.

For AI in Government applications, semantic segmentation is used to detect desired objects in an image at the pixels level.

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BOUNDING BOXES

The labelify CV experts use rectangular box annotations to illustrate objects and train information, which allows algorithms to locate and identify objects during ML processes.

Annotation polygon for aircraft detection at airports, AI in Government Applications

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TRANSCRIPTION AUDIO AND HANDWRITING

Language experts translate text documents and audio clips, including domain-specific material such as earnings calls from the financial sector or doctor prescriptions for medical artificial intelligence. To power NLP Applications for AI in Government, Entity Recognition is based on categories.

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NAMED ENTITY REGNOTION

Labelify enables data scientists to extract and classify relevant named entities from a variety of text sources. The custom tooling for this task streamlines the extraction process. Sentiment analysis of text data for AI in Government applications

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SENTIMENT ANALYSIS

Domain experts examine large numbers of documents to make sentiment judgments. They use three-way classifications: neutral, negative, and positive. Many jobs require a high level of sentiment.
Salience Analysis is used to identify responses and make judgments for AI in Government applications

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SALIENCE ANALYSIS

It can be a big difference to trigger the right response by identifying the most important elements in a text. Teams label entities subjectively rated their salience using single or multiple judgments.

USE OF AI IN GOVERNMENT

KEYPOINT ANNOTATION

Team labels outline shapes and objects by connecting points between images. This annotation type can detect body features and may include facial expressions.

For AI and Government applications, audio and handwriting transcription is used to transcribe text documents and audio clips.

SEMANTIC SEGMENTATION

A photo can be broken down into components by the Labelify team and annotated by the CV experts. This allows them to identify desired objects at the pixel level.

Geospatial applications use point annotation to locate an object and its components in an image.

POLYGON ANNOTATION

Expert annotators place points at each vertex of the target object in an image. Annotating objects with polygons allows for all edges to be marked, regardless of their shape.

For AI in Government applications, semantic segmentation is used to detect desired objects in an image at the pixels level.

BOUNDING BOXES

The labelify CV experts use rectangular box annotations to illustrate objects and train information, which allows algorithms to locate and identify objects during ML processes.

Annotation polygon for aircraft detection at airports, AI in Government Applications

TRANSCRIPTION AUDIO AND HANDWRITING

Language experts translate text documents and audio clips, including domain-specific material such as earnings calls from the financial sector or doctor prescriptions for medical artificial intelligence. To power NLP Applications for AI in Government, Entity Recognition is based on categories.

NAMED ENTITY REGNOTION

Labelify enables data scientists to extract and classify relevant named entities from a variety of text sources. The custom tooling for this task streamlines the extraction process. Sentiment analysis of text data for AI in Government applications

SENTIMENT ANALYSIS

Domain experts examine large numbers of documents to make sentiment judgments. They use three-way classifications: neutral, negative, and positive. Many jobs require a high level of sentiment.
Salience Analysis is used to identify responses and make judgments for AI in Government applications

SALIENCE ANALYSIS

It can be a big difference to trigger the right response by identifying the most important elements in a text. Teams label entities subjectively rated their salience using single or multiple judgments.

How it works

Simple and Fast

1. Talk to Us

Talk with our team about your data and any customization you may require in your training dataset

2. Free demo & PoC

A free demo will be given and we will compose a Proof of Concept (PoC) to clarify any ambiguities or uncertainties about the project

3. Launch

A dedicated Labelify Manager prepares the timeline and set up the project team by selecting expert annotators who have worked on similar projects before

4. Execute

Microtasks are distributed to a fully managed workforce under the guidance of Labelify Project Manager

5. Delivery

Annotated Data is delivered to the client after completing a triple level quality check process

SOLUTIONS FOR GOVERNMENT

computer vision government e1681705987841

COMPUTER VISION

Labelify’s specialized image and video labeling teams perform a variety of Computer Vision tasks to support deployment of autonomous and geospatial-focused applications.

NLP government

NATURAL LANGUAGE PROCESSING

Teams trained in domain-specific lexicons work on linguistic projects to extract intelligence from vast government records and datasets to enable automation of processes.

Why Choose Labelify?

Accelerate AI Projects

Quickly develop and improve your AI/ML models to bring your solutions to market faster and gain a competitive advantage.

Make Data Actionable

Rapidly unlock the value of 2-D and 3-D image data from various sources using your preferred tools and methods.

Drive Innovation

Free your data scientists to focus on higher value work by leaving the complex data preparation and annotations to us.

Improve Data Quality

Move your complex LiDAR, orthomosaic, point cloud, and photogrammetry image data over the quality finish line.

Scale Your Operations

From proof of concept to production, tap our proven people, processes, and technology to ramp up to your full potential.

Harness Our Expertise

Our industry training and experience annotating all forms of aerial, UAV, and geospatial images mean you get expert, quality labeling.

Choose a better partner

Our specialist will guide you through key features of our service offering that are relevant to your business.

Certifications and Compliance
labelify

Ready to Get Started? We are.

✔️ 3000+ Managed Workforce

✔️ 24*7 Monitored Facility

✔️ SME & Product Manager

team welcome

Large Language Models | Computer Vision | Image Annotations | Enterprise AI | Pattern Recognition

Generative AI | MLOps | Recurrent Neural Networks | Bounding Boxes | Intersection Over Union | YOLO

GPT 4 Turbo | Semi-Supervised Learning | Active Learning | NLP 101 | Few-Shot Learning

Mean Average Precision | Foundation Models | Auto-GPT | Zero-Shot Learning | Anthropic’s Claude AI

Generative Adversarial Networks | Human Activity Recognition | COCO | Sentiment Analysis | LiDAR

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