Abhishek-Mallick/universal-box

[TEMPLATE] – Image Recognition Using CNNs - DataScience

Open

#94 opened on Sep 30, 2024

View on GitHubContributor guide
 (2 comments) (0 reactions) (0 assignees)JavaScript (41 forks)auto 404
good first issuehacktoberfest

Repository metrics

Stars
 (49 stars)
PR merge metrics
 (No merged PRs in 30d)

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/Classifications/ImageRecognitionCNN

What tech stacks do you want to include?

Python, TensorFlow, Keras

Brief Description

A project template that uses Convolutional Neural Networks (CNNs) to classify images into categories.

Reference(implementation like) : teachablemachine

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
Create the project template with a Jupyter notebook for model training, incorporate a Flask or Streamlit UI for user interaction, and ensure a clear README linking the notebook.
Tech stack
pythontensorflow
Domain
None
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.
3-5 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.
55