Tensorflow Object Detection API

Question

I decided to take a dip into ML and with a lot of trial and error was able to create a model using TS\' inception.

To take this a step further, I want to use their Objec

Answer 1

The training jobs in the Tensorflow Object Detection API expect to get TF Record files with certain fields populated with groundtruth data.

You can either set up your data in the same format as the Pascal VOC or Oxford-IIIT examples, or you can just directly create the TFRecord files ignoring the XML formats.

In the latter case, the create_pet_tf_record.py or create_pascal_tf_record.py scripts are likely to still be useful as a reference for which fields the API expects to see and what format they should take. Currently we do not provide a tool that creates these TFRecord files generally, so you will have to write your own.

Answer 2

Except TF Object Detection API you may look at OpenCV Haar Cascades. I was starting my object detection way from that point and if provide well prepared data set it works pretty fine.

There are also many articles and tutorials about creating your own cascades, so it`s easy to start. I was using this blog, it helps me a lot.