README.md

---
pretty_name: "Deep Learning Project"
language:
  - en
license: other
task_categories:
  - image-classification
tags:
  - deep-learning
  - computer-vision
  - fire-detection
  - wildfire-detection
  - image-classification
  - transfer-learning
  - severity-classification
  - feature-extraction
  - recommendation-generation
  - tensorflow
  - keras
---

# Deep Learning Project

## Dataset Summary

This repository contains the datasets, trained models, notebooks, experiments, feature-extraction outputs, and supporting resources developed for a deep learning project focused on **fire detection, fire severity classification, and related computer vision tasks**.

The project covers multiple stages of a deep learning workflow, including binary fire classification, three-class fire severity classification, feature extraction, dimensionality reduction, clustering, and recommendation generation.

The repository contains approximately **2.1 GB of files across 1,700+ files**.

## Dataset Details

### Dataset Description

The repository is a collection of datasets and machine-learning artifacts rather than a single standardized dataset. It contains resources used across multiple deep learning experiments and application components.

The main components include:

- Fire vs. No-Fire binary image classification
- Three-class fire severity classification
- Feature extraction
- Severity clustering
- Dimensionality reduction
- Recommendation generation
- Generated severity-image samples
- Jupyter notebooks
- Trained models and model checkpoints
- Supporting application resources

### Main Project Components

#### Fire vs. No-Fire Binary Classification

`Fire_vs_No_Fire_Binary_Classification/`

Contains resources for binary image classification between:

- Fire
- No Fire

The project includes experiments using:

- ResNet50
- Custom CNN
- VGG16
- EfficientNetB0

The directory also contains a dataset, trained model resources, and VGG16 checkpoints.

#### Fire Severity Detection

`Severity_Detection_Tri_Classification/`

Contains resources for three-class fire severity classification:

- Mild
- Moderate
- Severe

The project includes experiments using:

- Xception
- EfficientNetB0

Additional components include feature extraction, clustering, dimensionality reduction, and dataset preparation.

#### Severity Dataset

`Severity_Detection_Tri_Classification/Severity_Altered_Dataset/`

Contains an image dataset organized into training, validation, and testing splits.

```text
severity_dataset/
├── train/
│   ├── mild/
│   ├── moderate/
│   └── severe/
├── val/
│   ├── mild/
│   ├── moderate/
│   └── severe/
└── test/
    ├── mild/
    ├── moderate/
    └── severe/