Task Description 📄
📌 In this task :
👉Create a model that will detect a car in a live stream or video and recognize characters on number plate of the car .
👉Secondly , it will use the characters and fetch the owners information using RTO API’s .
Unsupervised learning is where you train a machine learning algorithm, but you don’t give it the answer to the problem. In Unsupervised Learning, the machine uses unlabeled data and learns on itself without any supervision. The machine tries to find a pattern in the unlabeled data and gives a response.
In the field of machine learning and specifically the problem of statistical classification, a confusion matrix, also known as an error matrix, is a specific table layout that allows visualization of the performance of an algorithm, typically a supervised learning one.
Steps to be followed to achieve this task:-
2. Install python Software on top of Docker Container
3. Copy CSV file from Host Machine to Docker container
4. Train a Machine Learning model Using a Dataset