Welcome to MMDetection’s documentation!¶
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
- COCO Separated & Occluded Mask Metric
- Useful Hooks
- Visualization
- Corruption Benchmarking
- Model Deployment
- Semi-automatic Object Detection Annotation with MMDetection and Label-Studio
Advanced Guides
Migration
API Reference
Model Zoo
Notes