Explanation

This section consists of an algorithms explanation and describes additional features that are supported by OpenVINO™ Training Extensions. Algorithms section includes a description of all supported algorithms:

1. Explanation of the task and main supervised training pipeline.

2. Description of the supported datasets formats for each task.

3. Available templates and models.

4. Incremental learning approach.

5. Semi-supervised and Self-supervised algorithms.

Additional Features section consists of:

1. Overview of model optimization algorithms.

2. Hyper parameters optimization functionality (HPO).

3. Auto-configuration algorithm to select the most appropriate training pipeline for a given dataset.

• Algorithms
  • Classification
    • Multi-class Classification
    • Multi-label Classification
    • Hierarchical Classification
  • Object Detection
    • Object Detection
  • Segmentation
    • Semantic Segmentation
    • Instance Segmentation
  • Anomaly Detection
  • Action Recognition
    • Action Classification
    • Action Detection
• Additional Features
  • Models Optimization
  • Hyperparameters Optimization
  • Auto-configuration
  • Explainable AI (XAI)