Abhishek-Mallick/universal-box

[TEMPLATE] - Object Detection with YOLO - DataScience

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#95 opened on Sep 30, 2024

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Description

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, Open Images Dataset, Cityscapes Dataset, KITTI Dataset, Berkeley DeepDrive Dataset 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?

  • Yes
  • No

🏢 Have you read the Code of Conduct?

Would you like to work on this issue?

No

Contributor guide

Research direction
Implement a YOLO object detection template using Python, OpenCV, and TensorFlow. Include a Jupyter notebook and a Flask/Streamlit UI. Reference datasets and provide setup instructions.
Tech stack
pythontensorflow
Domain
machine learningai
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonMachine Learning basics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
40