Welcome to MMDetection’s documentation!

Get Started

• OVERVIEW
• GET STARTED

User Guides

• Train & Test
  • Learn about Configs
  • Inference with existing models
  • Dataset Prepare
  • Test existing models on standard datasets
  • Train predefined models on standard datasets
  • Train with customized datasets
  • Train with customized models and standard datasets
  • Finetuning Models
  • Test Results Submission
  • Weight initialization
  • Use a single stage detector as RPN
  • Semi-supervised Object Detection
• Useful Tools
  • Log Analysis
  • Result Analysis
  • Visualization
  • Error Analysis
  • Model Serving
  • Model Complexity
  • Model conversion
  • Dataset Conversion
  • Dataset Download
  • Benchmark
  • Miscellaneous
  • Hyper-parameter Optimization
  • Confusion Matrix
  • Useful Hooks
  • Visualization
  • Corruption Benchmarking

Advanced Guides

• Basic Concepts
  • Data Flow
  • Structures
  • Models
  • Datasets
  • Data Transforms
  • Evaluation
  • Engine
  • Conventions
• Component Customization
  • Customize Models
  • Customize Losses
  • Customize Datasets
  • Customize Data Pipelines
  • Customize Runtime Settings
• How to
  • Use backbone network through MMClassification
  • Use Mosaic augmentation
  • Unfreeze backbone network after freezing the backbone in the config
  • Get the channels of a new backbone

Migration

• Migration

API Reference

• mmdet.apis
• mmdet.datasets
• mmdet.engine
• mmdet.evaluation
• mmdet.models
• mmdet.structures
• mmdet.testing
• mmdet.visulization
• mmdet.utils

Model Zoo

• Benchmark and Model Zoo

Notes

• Contribution
• Projects based on MMDetection
• Changelog of v3.x
• Changelog v2.x
• Frequently Asked Questions
• Compatibility of MMDetection 2.x

Switch Language

• English
• 简体中文

Indices and tables

• Index

• Search Page