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Introduction
Installation
OpenVINO™ Training Extensions CLI commands
Tutorials
Base Tutorials
How to train, validate, export and optimize the model
Classification model
Object Detection model
Instance Segmentation model
Semantic Segmentation model
Anomaly Detection Tutorial
Action Classification model
Action Detection model
How to run the demonstration mode with OpenVINO™ Training Extensions CLI
How to deploy the model and use demo in exportable code
How to explain the model behavior
Advanced Tutorials
Use Semi-Supervised Learning
Use Self-Supervised Learning
Backbone Replacement
Utilize OpenVINO™ Training Extensions APIs in your project
Simple HPO Tutorial
Explanation
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
Visual Prompting
Visual Prompting (Fine-tuning)
Visual Prompting (Zero-shot learning)
Additional Features
Models Optimization
Hyperparameters Optimization
Auto-configuration
Adaptive Training
Explainable AI (XAI)
Noisy Label Detection
Fast Data Loading
Improve Small Object Detection with Image Tiling
Configurable Input Size
Augmentations per model
Reference
API reference
otx
otx.algorithms
otx.algorithms.action
otx.algorithms.anomaly
otx.algorithms.classification
otx.algorithms.common
otx.algorithms.detection
otx.algorithms.segmentation
otx.algorithms.visual_prompting
otx.api
otx.api.configuration
otx.api.entities
otx.api.serialization
otx.api.usecases
otx.api.utils
otx.cli
otx.cli.builder
otx.cli.manager
otx.cli.registry
otx.cli.tools
otx.cli.utils
otx.core
otx.core.data
otx.core.file
otx.core.ov
otx.core.patcher
otx.hpo
otx.recipes
otx.recipes.stages
otx.utils
otx.utils.logger
otx.utils.utils
Release Notes
Releases
otx.algorithms.detection.configs.detection.resnet50_dino.data_pipeline
#
Data pipeline for DINO.
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