Welcome to the Driveable Area Detection Project!
In this course, you will learn to build an image segmentation system for driveable area detection. The course can be found here: https://jeremycohen.podia.com/image-segmentation.
DATASET
The dataset can be found in the course at this address. It's in Pickle format and contains 3,000 images and labels downloaded from Berkeley Deep Drive Dataset.
Instructions
Use Python 3, and Jupyter Notebook Necessary libraries:
- Tensorflow 2.0 with Keras
- Pickle (to load the datasets)
- OpenCV
- MatplotLib
- NumPy
- MoviePy