object classification

Description

ZEN and APEER – Open Ecosystem for integrated Machine-Learning Workflows

Open ecosystem for integrated machine-learning workflows to train and use machine-learning models for image processing and image analysis inside the ZEN software or on the APEER cloud-based platform

Highlights ZEN

  • Simple User Interface for Labeling and Training
  • Engineered Features Sets and Deep Feature Extraction + Random Forrest for Semantic Segmentation
  • Object Classification workflows
  • Probability Thresholds and Conditional Random Fields
  • Import your own trained models as *.czann files (see: czmodel · PyPI)
  • Import "AIModel Containes" from arivis AI for advanced Instance Segmentation
  • Integration into ZEN Measurement Framework
  • Support for Multi-dimensional Datasets and Tile Images
  • open and standardized format to store trained models
ZEN Intellesis Segmentation

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ZEN Intellesis - Pretrained Networks

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Intellesis Object Classification

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Highlights Aarivis AI

  • Web-based tool to label datasets to train Deep Neural Networks
  • Fully automated hyper-parameter tuning
  • Export of trained models for semantic segmentation and AIModelContainer for Instance Segmentation
Annotation Tool

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