Fire / No-Fire Image Classification Using Deep Learning

A deep learning project focused on classifying images into two categories: fire and no-fire. The goal was to explore how convolutional neural networks (CNNs) can be used to identify potential fire scenes from images.

Developed an image classification pipeline using Python and PyTorch.

Prepared and processed image datasets for model training.

Used transfer learning and fine-tuning techniques.

Evaluated model predictions on fire and non-fire images.

Explored the limitations of image classification in challenging scenes.

Python · PyTorch · CNN · Deep Learning · Image Processing

Project Type: Academic Machine Learning Project