INTEROPERABLE

Supports popular frameworks like Tensorflow, YOLO, and PyTorch via the ONNX interchange format.

SCALABLE

Deploys to the Cloud as a Docker Image, REST API and behind your firewall.

OPTIMIZED

Built from the ground up to process any size file in a variety of geospatial formats. 

DeepCore is a utility toolkit, written in modern C++  by Maxar Technologies

It allows a user to download, perform either image classification or object detection, and manipulate geospatial vector files. DeepCore is intended to be a machine learning framework agnostic toolkit, allowing for a simple, clean, consistent programmatic interface. It also provides easy access to the DigitalGlobe imagery archive. As new machine learning techniques and frameworks emerge, they can easily be integrated into DeepCore. This allows developers using DeepCore to easily extend their applications with the latest technology, without having to worry about the complexities of each framework or technique DeepCore’s machine learning features can also be accelerated by the use of Nvidia Graphics Processing Units (GPUs) using CUDA technology. By enabling GPU mode, the process of object detection becomes very quick, allowing for faster and more efficient processing of large geographic areas. The use of GPUs to accelerate machine learning and object detection processes is highly recommended.

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Blog Posts

DeepCore 1.4 Now Supports ONNX

DeepCore supports the Open Neural Network Exchange (ONNX) format, an open standard created by a[…]

DeepCore v1.4.0

I’m pleased to announce the release of version 1.4.0 of the DeepCore Framework. DeepCore has[…]

DeepCore Cogifier

DeepCore has a new capability! While the DeepCore team has been primarily focused on it’s[…]

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