Object Detection Systems
One of the most powerful applications of machine learning and computer vision is object detection. While it is trivial for a human being to identify and locate specific objects within an image, the sheer volume of data encoded in a given image—especially one at a very high resolution—has until quite recently made computer-powered object detection very challenging.
Today, object detection systems powered by Neural Magic’s Inference Engine can be used to develop sophisticated computer vision applications for industries and use cases ranging from industrial manufacturing to retail to media—helping companies achieve previously impossible feats, at a fraction of the cost.
Run Object Detection Models on a CPU
Today, when machine learning engineers run object detection models, they often make choices that affect the quality of outcomes, because they are forced to make untenable sacrifices between:
- Batch Size
Neural Magic addresses these limitations by generating GPU-class performance on commodity CPUs.
Better Price Performance
Today we have support for SSD networks.
Neural Magic In the News
Announcing the Neural Magic Inference EngineWe are proud to announce the first version of the Neural Magic Inference Engine, offering GPU-class performance on commodity CPUs.
Neural Magic Announces $15 Million in Seed FundingThe seed investment is led by Comcast Ventures, and including NEA, Andreessen Horowitz, Pillar VC and Amdocs
Try Neural Magic Today
The Neural Magic Inference Engine fits seamlessly into existing CI/CD pipelines, can be deployed in containers or virtual machines, and can be managed with Kubernetes like any modern software application.