Image Classification using Deep Neural Networks

The objective of image classification is to identify and portray the features occurring in an image.

Using "learn by example" techniques, we teach the computer to recognize images and classify them into different categories.

We have strong expertise with the:

Development and optimizations of deep-learning neural-networks models
Providing practical-to-use solution for real-world problems

Interpret and classify image content based on learning from sample data

Our specialties

Video AnalysisRecognize, count, measure, track and analyze video images
Video and Image ProcessingAutomatically analyze and alter digital images and video
Object Detection & RecognitionDetect, recognize, extract, and analyze objects from photos and video
Visual ComparisonDetect meaningful differences between images
Machine LearningInterpret video and image content based on learning from sample data
Image ClassificationAnalyze and recognize object in images to extracting relevant information
3D GraphicsScan, create, edit and manipulate 3D objects, images and scenes
User Experience DesignDeliver cutting-edge applications that are easy to use

Let us help you succeed

Whether you have detailed requirements or just a basic concept, our team can help you define the best technical approach, and provide cost estimates for a custom application you or your clients will love.
Call (408) 343-0234 or e-mail info@ComputerVisionSoftware.com.

Computer Vision Software Development

Image Classification using Deep Neural Networks

Our specialties

Let us help you succeed