Image Segmentation
Image Segmentation

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Products and services for "Image Segmentation"

Image for Image Segmentation – Instill AI
Product

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Image Segmentation – Instill AI

Image Segmentation | Product Highlights | The problem | What makes the problem a problem? | Who benefits from this? | The Process | Data | Model | Evaluation | Interested to know more about our products and services?

by Instill AI

Image for Image Segmentation ToolKit | DeepDense LTD
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Image Segmentation ToolKit | DeepDense LTD

Image Segmentation ToolKit | About The Product:

by DeepDense Medical

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	TESCAN 3DIM - 3D Imaging & Analysis
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TESCAN 3DIM - 3D Imaging & Analysis

Image Segmentation Tools

by TESCAN 3DIM, s.r.o.

Image for Cloud Segmentation Image Processing
Product

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Cloud Segmentation Image Processing

Onboard imagery processing software for cloud segmentation. With CH, the quality of data is assessed directly onboard and only the relevant frames are sent to the ground. A software tool that enables onboard data processing of Earth Observation (EO) data in the visible spectrum. Using state-of-the-art Machine Learning (ML) techniques, it identifies clouds in the image frames soon after they are acquired. This software helps in discarding the data onboard spacecraft that are deemed unprofitable or unusable due to the presence of heavy cloud coverage. This saves valuable bandwidth by avoiding the downlink of poor-quality data, or by prioritizing the downlink of frames that are less affected by the presence of clouds. As it applies a mission-agnostic segmentation technique to identify clouds in the images, it is possible to train its models to analyze data acquired by any optical payload operating in the visible range. When choosing the software to augment the capabilities of a customer’s EO satellite, AIKO engineers will support you throughout the model training and customization process, ensuring a perfect fit with the specific optical payload used. The ML algorithms that power this have been successfully tested on CPUs (x86_64 and ARM-64, with TFLite and ONNX runtimes), GPUs (Nvidia Jetson Nano), VPUs (Intel Myriad), and TPUs (Google Coral). While it is a self-contained tool that can be deployed onboard to provide simple but efficient data filtering, it can be also installed in combination with Spacecraft Operations software solution for onboard autonomy. When coupled with Spacecraft Operations Software, the cloud coverage information is not just used to sift out the low-quality data, but it provides real-time insights that can be used to optimally replace the observation schedule according to the meteorological conditions. It has been extensively validated on the ground on Sentinel data. The core machine learning models reached TRL9 in 2019, during the deployment on a Low-Earth Orbit EO mission by Satellogic. Including the product customization phase, the lead time for the deployment of this software is about two months. Applications- • Removal of clouds from images

by DefSpace

Image for Consulting | Matrix AI
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Consulting | Matrix AI

Matrix AI provides consulting services on Image Classification, Object Detection, Image Segmentation, and Image Segmentation

by Matrix AI

Image for Services | Inclusum AI | Machine Learning for Embedded Devices
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Services | Inclusum AI | Machine Learning for Embedded Devices

Inclusum helps companies embed AI into products and systems. We specialize in deploying Machine Learning models onto various embedded platforms.

by Inclusum

62 companies for "Image Segmentation"

Matrix AI's Logo

Sydney, Australia

1-10 Employees

2014

Founded in Sydney, Australia on August 2014, Matrix OS was created to make DevOps and Software Deployment Automation tools more user-friendly for software developers. Between 2014 to 2017 we focused on Research & Development on distributed systems theory, type theory, category theory, machine learning, systems administration, network protocols, and programming language theory. From 2016 to 2019 we formed a team to build Matrix OS, our core product. In 2019, we launched our consulting services based on our experience building highly scalable infrastructure and machine learning application development. We're always on the look out for exceptional team members, partners and investors who are passionate about the container orchestration market and Artificial Intelligence.

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Service
Image for Image Segmentation

Image Segmentation

... Matrix AI provides consulting services on Image Classification, Object Detection, Image Segmentation ...

machsense's Logo

Istanbul, Turkey

1-10 Employees

2019

We build state of the art machine learning models to help companies turn their data into revenue. We use neural networks to solve the most challenging problems of businesses today. Find out cross selling and up selling opportunities. Find out how many products you will sell tomorrow, this week or this month. Learn the feelings of customers towards your products.

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Featured

Core business
Image for machsense

machsense

... Image Segmentation. ...

TESCAN 3DIM, s.r.o.'s Logo

Brno, Czechia

11-50 Employees

2001

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Product
Image for Image Segmentation Tools

Image Segmentation Tools

... Image Segmentation ...

SunTec.AI's Logo

Laguna Beach, United States

251-500 Employees

2020

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Featured

Core business
Image for SunTec.AI | Data Annotation Outsourcing Services | Data Annotation Company

SunTec.AI | Data Annotation Outsourcing Services | Data Annotation Company

... Deep Learning Model for Semantic Image Segmentation ...

raventech's Logo

Yenimahalle, Turkey

1-10 Employees

2021

We produce unique computer vision solutions for our client's needs with the most up to date technologies. We solve the most challenging problems with the power of Deep Learning algorithms. We help our clients with their need in technical development with a various range of area. "Any sufficiently advanced technology is indistinguishable from magic.".

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Featured

Core business
Image for raventech

raventech

... Image Segmentation ...

Instill AI's Logo

Blacksburg, United States

1-10 Employees

2020

Instill AI founded to enhance the utilization of AI in the real-world. As many stakeholders are interested in leveraging AI, there are many different setbacks along the way. Usually the unknown unknowns block the way of having a working system. We aim to clarify the path for our customers and do the job. As we put our customers first, the main goal is to listen to the clients and deliver what is being asked on time.

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Product
Image for Image Segmentation

Image Segmentation

... Image Segmentation – Instill ...

DeepDense Medical's Logo

Haifa, Israel

1-10 Employees

2020

DeepDense Medical develops advanced medical image analysis software to promote quantitative and personalized medicine and reduce the processing time required in multiple diagnostic and therapeutic procedures. DeepDense development packages boosts research and development of AI-based medical image applications. DeepDense Medical will lead and master the software solutions for accurate, interactive, fast and efficient complex 3D segmentation by dramatically improving ongoing AI- R&D work, existing AI based solutions by the development & commercialize new clinically regulatory approved AI- appreciations.

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Featured

Product
Image for Image Segmentation ToolKit

Image Segmentation ToolKit

... Image Segmentation ToolKit | DeepDense ...

S.O.D.A's Logo

Or Akiva, Israel

11-50 Employees

SODA is a custom research development and consulting of AI technologies and machine learning. We are top-level professionals well experienced in the design, implementation, and management of high-performance technology solutions to offer our customers extreme value by taking on the toughest engineering problems in the fields of deep learning, Computer Vision, RADAR/LIDAR vision, signal processing, artificial neural networks, Networks Theory, Data Mining, Anomaly Detection, Cyber Security, Feature selection and Optimization, Natural Language and Reinforcement Learning. Our full stack front-end developers are experts in front-end languages such as Mocha, HTML, CSS/SCSS, Bootstrap, JavaScript, Angular.js, Vue.js, Node.js and React.js. We focus on using technologies that not only make your solutions attractive, but also enhance its performance. HTML, CSS/SCSS, Bootstrap, JavaScript, Angular.js, Vue.js, Node.js and React.js.

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Core business
Image for Soda Development – Software Outsourcing Development & Architecture

Soda Development – Software Outsourcing Development & Architecture

... Deep Learning Model For Semantic Image Segmentation ...

Inclusum's Logo

Ottawa, Canada

1-10 Employees

Inclusum [in·kloo·suhm] is Latin for confined, enclosed or bound, which represent well our goal to embed intelligence into devices to improve performance and to protect personal and enterprise data from being sent to the cloud. Embedding intelligence results in enhanced security and optimized data analytics for real-time decision-making. Inclusum works at the intersection of Artificial Intelligence (AI) and the Internet of Things (IoT). We specialize in bringing AI to the Edge, IoT and embedded devices. There is a lot of buzz around AI and Deep Learning but in many cases, it fails to live up to the hype that surrounds it.

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Service
Image for Image Segmentation

Image Segmentation

... Image Segmentation ...

V-Labs's Logo

Cincinnati, United States

51-100 Employees

2017

Innovate for the Future Drive Impactful Innovation for Customers. Redefine Business Process Automation Enable Peak Business Performance. V-Labs is a passionate team of Scientists, Engineers and Entrepreneurs with deep expertise in Computer Vision, Natural Language Processing, Signal Processing and Sensor based AI Platforms and Solutions. V-Labs is committed to reimagining businesses with the power of responsible AI and building the future of Intelligent Automation. V-Labs has many success stories leveraging Video/Image Processing, Contextual Analysis with NLP and Sensor-Physics based AI Automation.

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Image for Welcome to V-Labs

Welcome to V-Labs

... Video and Image Segmentation and ...

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„Image Segmentation“

Image segmentation is the process of partitioning an image into multiple segments, each of which represents a different object or region in the image. The goal of image segmentation is to simplify and/or change the representation of an image into something more meaningful and easier to analyze. It is typically used to locate objects and boundaries in images.