Object Classification

A machine learning project using Python and scikit-learn to classify objects from image data, built as a UTS Machine Learning assignment.

Overview

Developed as part of the UTS Machine Learning subject (31005), this project involved training and evaluating classification models on image data using Python-based ML tools.

What It Does

  • Loads and preprocesses image datasets
  • Trains object classification models
  • Evaluates model accuracy and performance metrics
  • Presented in a Jupyter Notebook with inline results and visualisations

Tech Stack

  • Language: Python
  • Environment: Jupyter Notebook
  • Libraries: scikit-learn, NumPy, Matplotlib

Skills Demonstrated

Data preprocessing, model training and evaluation, and communicating results clearly through a structured notebook.