semantic segmentation

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

ZEN Intellesis Segmentation - Training UI

ZEN Intellesis - Pretrained Networks

ZEN Intellesis Segmentation - Use Deep Neural Networks

Intellesis Object Classification

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