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 - Pretrained 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
Annotation Tool
