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Average Ratings 2 Ratings

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support

Description

PaliGemma 2 represents the next step forward in tunable vision-language models, enhancing the already capable Gemma 2 models by integrating visual capabilities and simplifying the process of achieving outstanding performance through fine-tuning. This advanced model enables users to see, interpret, and engage with visual data, thereby unlocking an array of innovative applications. It comes in various sizes (3B, 10B, 28B parameters) and resolutions (224px, 448px, 896px), allowing for adaptable performance across different use cases. PaliGemma 2 excels at producing rich and contextually appropriate captions for images, surpassing basic object recognition by articulating actions, emotions, and the broader narrative associated with the imagery. Our research showcases its superior capabilities in recognizing chemical formulas, interpreting music scores, performing spatial reasoning, and generating reports for chest X-rays, as elaborated in the accompanying technical documentation. Transitioning to PaliGemma 2 is straightforward for current users, ensuring a seamless upgrade experience while expanding their operational potential. The model's versatility and depth make it an invaluable tool for both researchers and practitioners in various fields.

Description

ReadYourLab is a free DICOM viewer that efficiently processes raw CT and MRI scan files. With the help of AI-driven features, it swiftly analyzes the scans and clarifies medical terminology for users. You can pose questions regarding your scans, and ReadYourLab aims to provide insights that enhance your understanding of your health and equip you with inquiries for your healthcare provider. The evaluations of your CT and MRI scans are conducted by MedGemma 1.5, a cutting-edge medical AI developed by Google Research, which boasts 4 billion parameters and is built upon the Gemma 3 framework. This advanced system utilizes a medically-tuned vision encoder, known as MedSigLIP, which has been trained on anonymized medical imaging datasets. It meticulously examines each slice of your scan in a comprehensive 3D format, emulating the thorough approach of a radiologist. Notable features include the ability to perform full 3D volumetric analysis of DICOM series for both CT and MRI. Additionally, it proficiently interprets various MRI sequences such as T1, T2, FLAIR, DWI, and contrast-enhanced images. MedGemma's training involved extensive medical imaging datasets, including MIMIC-CXR and ChestImaGenome, ensuring a robust understanding of complex medical visuals. Moreover, it has a 128K token context window, which allows for the effective processing of large series of scans.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Gemma
Hugging Face
Kaggle
Keras
LLaMA-Factory
PyTorch

Integrations

Gemma
Hugging Face
Kaggle
Keras
LLaMA-Factory
PyTorch

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1994

Country

United States

Website

developers.googleblog.com/en/introducing-paligemma-2-powerful-vision-language-models-simple-fine-tuning/

Vendor Details

Company Name

ReadYourLab

Founded

2026

Country

Hungary

Website

readyourlab.com

Product Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Product Features

Alternatives

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Alternatives

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