Tensorflow Object Detection API

Table of contents

Setup:

• Installation
  

Quick Start:

• Quick Start: Jupyter notebook for off-the-shelf inference
  
• Quick Start: Training a pet detector
  

Customizing a Pipeline:

• Configuring an object detection pipeline
  
• Preparing inputs
  

Running:

• Running locally
  
• Running on the cloud
  

Extras:

• Tensorflow detection model zoo
  
• Exporting a trained model for inference
  
• Exporting a trained model for TPU inference
  
• Defining your own model architecture
  
• Bringing in your own dataset
  
• Supported object detection evaluation protocols
  
• Inference and evaluation on the Open Images dataset
  
• Run an instance segmentation model
  
• Run the evaluation for the Open Images Challenge 2018/2019
  
• TPU compatible detection pipelines
  
• Running object detection on mobile devices with TensorFlow Lite