Vehicle Detection for Self-Driving Cars
The repository aims to provide detection of on-road vehicles for Self-Driving Cars via TensorFlow Object Detection API. The API has been trained on the COCO dataset (Common Objects in Context). This is a dataset of 300k images of 90 most commonly found objects. The API provides 5 different CNN models. The current .ipynb file uses MobileNet. The .ipynb and .html files are in Python-Files folder. The input and output images and videos are Test-Images and Output-Images folder. The input and output videos are in Videos folder.