Abhishek-A2077/Classification-of-Barred-and-Unbarred-Galaxies-

DENSENET-121 Approach for classification of Galaxies

Open

#2 opened on Oct 31, 2024

View on GitHub
 (1 comment) (0 reactions) (1 assignee)Jupyter Notebook (1 fork)auto 404
computer visiondensenet121hacktoberfest

Repository metrics

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

Description

Implement a DenseNet-121 model to classify barred and unbarred galaxies using the Galaxy10 SDSS dataset. Focus on the following classes:

Class 5: Barred Spiral Galaxies Class 6: Unbarred Tight Spiral Galaxies Class 7: Unbarred Loose Spiral Galaxies The objective is to develop a DenseNet-121-based classifier to accurately distinguish these specific galaxy types.

Try to improve the 87 percent accuracy from the vgg16 implementation .

Contributor guide

Research direction
Implement a DenseNet 121 model using the Galaxy10 SDSS dataset; inspect the existing VGG16 implementation for preprocessing and training pipeline; adapt the data loading and model definition; train and evaluate, aiming to improve upon 87% accuracy; consider data augmentation and hyperparameter tuning.
Tech stack
pythontensorflowpytorch
Domain
machine learningcomputer vision
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.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
PythonDeep Learning basicsTensorFlow or PyTorch
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60