Object detection API

Google released pre-trained models with various algorithms trained on the COCO dataset for public use. The API is built on top of TensorFlow and intended for constructing, training, and deploying object detection models. The APIs support both object detection and localization tasks. The availability of pre-trained models enables the fine-tuning of new data and hence making the training faster. These different models have trade-offs between speed and accuracy. 

Installation and setup

Install the Protocol Buffers (protobuf) compiler with the following commands. Create a directory for protobuf and download the library directly:

mkdir protoc_3.3
cd protoc_3.3
wget https://github.com/google/protobuf/releases/download/v3.3.0/protoc-3.3.0-linux-x86_64.zip

Change the permission of the folder and extract the contents, as shown here:

chmod 775 protoc-3.3.0-linux-x86_64.zip
unzip protoc-3.3.0-linux-x86_64.zip

Protocol Buffers (protobuf) is Google's language-neutral, platform-neutral...