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DeepDetect download for Linux

Free download DeepDetect Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named DeepDetect whose latest release can be downloaded as DeepDetectv0.24.0.zip. It can be run online in the free hosting provider OnWorks for workstations.

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DeepDetect


DESCRIPTION

The core idea is to remove the error sources and difficulties of Deep Learning applications by providing a safe haven of commoditized practices, all available as a single core. While the Open Source Deep Learning Server is the core element, with REST API, and multi-platform support that allows training & inference everywhere, the Deep Learning Platform allows higher level management for training neural network models and using them as if they were simple code snippets. Ready for applications of image tagging, object detection, segmentation, OCR, Audio, Video, Text classification, CSV for tabular data and time series. Neural network templates for the most effective architectures for GPU, CPU, and Embedded devices. Training in a few hours and with small data thanks to 25+ pre-trained models. Full Open Source, with an ecosystem of tools (API clients, video, annotation, ...) Fast Server written in pure C++, a single codebase for Cloud, Desktop & Embedded.



Features

  • Easy setup for both development and production
  • Web UI for training & managing models
  • Neural network templates for the most effective architectures for GPU, CPU and Embedded devices
  • Focus on applications, AI is not a problem
  • Training in a few hours and with small data thanks to 25+ pre-trained models
  • Ready for applications of image tagging, object detection, segmentation, etc,


Programming Language

C++


Categories

Machine Learning, OCR, Object Detection Models, Deep Learning Frameworks

This is an application that can also be fetched from https://sourceforge.net/projects/deepdetect.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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