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

RESNET-50 Approach for classification of Galaxies

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#1 opened on Oct 31, 2024

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computer visionhacktoberfestresnet50

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Description

Implement a ResNet-50 model to classify barred and unbarred galaxies using the Galaxy10 SDSS dataset. Specifically, focus on the following classes:

Class 5: Barred Spiral Galaxies Class 6: Unbarred Tight Spiral Galaxies Class 7: Unbarred Loose Spiral Galaxies The goal is to develop a robust ResNet-50-based classifier to distinguish these galaxy types accurately.

try to improve the existing accuracy of 87 percent .

Contributor guide

Research direction
Fine tune a pretrained ResNet 50 model on the Galaxy10 dataset, focusing on classes 5, 6, and 7. Apply data augmentation, adjust learning rate, and optimize hyperparameters to exceed 87% accuracy.
Tech stack
pythonpytorch
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.
Mostly clear
Prerequisites
PythonGitPyTorch
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50