Contributing to the Anki Vector dataset

In my previous post, I discussed how Roboflow.com features the Anki Vector public dataset, which can be used to train the Vector too…

In my previous post, I discussed how Roboflow.com features the Anki Vector public dataset, which can be used to train the Vector too recognize another Vector using the Anki Vector SDK. This post captures how you can add your own images to the dataset, and build your own dataset. More images add more diversity to the dataset, and lead to better trained models. Here is what you will have to do.

Prerequisites:

You will need the following:

1. Two Anki Vector robots in working condition.

2. Anki Vector SDK Dev environment setup, hopefully in a Ubuntu or alternative Linux environment. Please refer to the following page if you have not setup an Anki vector SDK environment.

3. Account with roboflow.com You can use your github.com account to get one for free.

Steps:

1. Please clone my git, or download this program.

2. Have a setup where two Vectors are sitting opposite to each other. You can place one on the charger (Vector A), so that it does not move much. You can have the other one (Vector B) roaming freely.

3. Run t…