[TEMPLATE] - Object Detection with YOLO - DataScience

### What domain will the project template be based on?

Data Science

### If 'Others', please specify the preferred domain.

_No response_

### Particular directory path for the template.

`templates/Data-Science/Deep-Learning/ObjectDetectionYOLO/`

### What tech stacks do you want to include?

Python, OpenCV, TensorFlow

### Brief Description

This project template implements the YOLO algorithm for real-time object detection focused on detecting ambulances and other vehicles in traffic scenarios.


References : [COCO Dataset](https://cocodataset.org/), [Open Images Dataset](https://storage.googleapis.com/openimages/web/index.html), [Cityscapes Dataset](https://www.cityscapes-dataset.com/), [KITTI Dataset](http://www.cvlibs.net/datasets/kitti/), [Berkeley DeepDrive Dataset](https://bdd-data.berkeley.edu/)


**Note :** A Jupyter notebook in form of a collab notebook should be linked in the README.md, and a user-friendly UI should be built using Flask or Streamlit.

### 👀 Have you spent some time checking if this issue has been raised before?

- [X] Yes
- [ ] No

### 🏢 Have you read the Code of Conduct?

- [X] I have read the [Code of Conduct](https://github.com/Abhishek-Mallick/universal-box/blob/main/.github/CODE_OF_CONDUCT.md)

### Would you like to work on this issue?

No