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Get Started
Introduction
Installation
CLI Guide
API Quick-Guide
Tutorials
Base Tutorials
Training to deployment tutorials
Classification model
Object Detection model
Instance Segmentation model
Semantic Segmentation model
Anomaly Detection Tutorial
Action Classification model
Visual Prompting model
XAI Tutorial
Deploy & Demo
Advanced Tutorials
How to write OTX Configuration (recipe)
Use Semi-Supervised Learning
Training with Hugging Face pretrained vision models
Multi-GPU Support
LoRA: Low Rank Adaptation for Classification Tasks
[BETA] Enable torch.compile
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
Visual Prompting
Visual Prompting (Fine-tuning)
Visual Prompting (Zero-shot learning)
Diffusion
Additional Features
Models Optimization
Hyperparameters Optimization
Auto-configuration
Adaptive Training
Explainable AI (XAI)
Fast Data Loading
Improve Small Object Detection with Image Tiling
Class-Incremental Sampler
Configurable Input Size
Product Design
Reference
API reference
otx
otx.algo
otx.algo.strategies
otx.algo.accelerators
otx.cli
otx.cli.cli
otx.cli.install
otx.cli.utils
otx.core
otx.core.config
otx.core.data
otx.core.exporter
otx.core.metrics
otx.core.model
otx.core.optimizer
otx.core.schedulers
otx.core.types
otx.core.utils
otx.engine
otx.hpo
otx.recipe
otx.tools
otx.tools.converter
otx.tools.templates
otx.utils
Release Notes
Releases
Visual Prompting
#
Visual Prompting (Fine-tuning)
Visual Prompting (Zero-shot learning)
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