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ease
features
design
support

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Description

Harness AI technology to assess how well your images and visual marketing efforts will resonate with audiences. In today’s world, individuals encounter an overwhelming volume of images and messages daily. To truly differentiate themselves, brands must create a lasting impression. Merely increasing spending on both digital and traditional advertising isn't sufficient. It’s crucial to evaluate the impact of visual campaigns prior to their launch. With Image Memorability, you can identify which of your visuals are the most impactful and unforgettable. Neosperience Image Memorability serves as the essential tool for elevating your brand and product imagery. By employing advanced deep learning algorithms, Neosperience Image Memorability merges both quantitative and qualitative insights to assess image effectiveness tailored to specific audience segments. Obtain precise metrics that enable you to gauge the memorability and influence of your visuals in just moments. Discover which elements of your images captivate viewers' attention and are likely to stick in their memory, ensuring your message leaves a lasting impression. Additionally, this tool allows brands to refine their visual content strategy by providing actionable insights for improvement.

Description

The NVIDIA Deep Learning GPU Training System (DIGITS) empowers engineers and data scientists by making deep learning accessible and efficient. With DIGITS, users can swiftly train highly precise deep neural networks (DNNs) tailored for tasks like image classification, segmentation, and object detection. It streamlines essential deep learning processes, including data management, neural network design, multi-GPU training, real-time performance monitoring through advanced visualizations, and selecting optimal models for deployment from the results browser. The interactive nature of DIGITS allows data scientists to concentrate on model design and training instead of getting bogged down with programming and debugging. Users can train models interactively with TensorFlow while also visualizing the model architecture via TensorBoard. Furthermore, DIGITS supports the integration of custom plug-ins, facilitating the importation of specialized data formats such as DICOM, commonly utilized in medical imaging. This comprehensive approach ensures that engineers can maximize their productivity while leveraging advanced deep learning techniques.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Caffe
Dask
NetApp AIPod
TensorFlow
Torch
Unleash live

Integrations

Caffe
Dask
NetApp AIPod
TensorFlow
Torch
Unleash live

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Neosperience

Founded

2006

Country

Italy

Website

www.neosperience.com/solutions/image-memorability/

Vendor Details

Company Name

NVIDIA DIGITS

Founded

1993

Country

United States

Website

developer.nvidia.com/digits

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Product Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Alternatives

Alternatives

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