Slight improvement to README

README.md

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 ![Norfair by Tryolabs logo](docs/logo.png)
 
-![Build status](https://github.com/tryolabs/norfair/workflows/CI/badge.svg?branch=master) [![DOI](https://zenodo.org/badge/276473370.svg)](https://zenodo.org/badge/latestdoi/276473370)
+ [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tryolabs/norfair/blob/master/demos/yolov4/yolov4_demo.ipynb) ![Build status](https://github.com/tryolabs/norfair/workflows/CI/badge.svg?branch=master) [![DOI](https://zenodo.org/badge/276473370.svg)](https://zenodo.org/badge/latestdoi/276473370)
 
 Norfair is a customizable lightweight Python library for real-time 2D object tracking.
 
 Using Norfair, you can add tracking capabilities to any detector with just a few lines of code.
 
-Try our simple colab demo on a youtube video [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tryolabs/norfair/blob/master/demos/yolov4/yolov4_demo.ipynb)
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 ## Features
 
 - Any detector expressing its detections as a series of `(x, y)` coordinates can be used with Norfair. This includes detectors performing object detection, pose estimation, and interest point detection.