AbdullahImran/DeepLearningProject

1---2pretty_name: "Deep Learning Project"3language:4  - en5license: other6task_categories:7  - image-classification8tags:9  - deep-learning10  - computer-vision11  - fire-detection12  - wildfire-detection13  - image-classification14  - transfer-learning15  - severity-classification16  - feature-extraction17  - recommendation-generation18  - tensorflow19  - keras20---21 22# Deep Learning Project23 24## Dataset Summary25 26This 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**.27 28The 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.29 30The repository contains approximately **2.1 GB of files across 1,700+ files**.31 32## Dataset Details33 34### Dataset Description35 36The 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.37 38The main components include:39 40- Fire vs. No-Fire binary image classification41- Three-class fire severity classification42- Feature extraction43- Severity clustering44- Dimensionality reduction45- Recommendation generation46- Generated severity-image samples47- Jupyter notebooks48- Trained models and model checkpoints49- Supporting application resources50 51### Main Project Components52 53#### Fire vs. No-Fire Binary Classification54 55`Fire_vs_No_Fire_Binary_Classification/`56 57Contains resources for binary image classification between:58 59- Fire60- No Fire61 62The project includes experiments using:63 64- ResNet5065- Custom CNN66- VGG1667- EfficientNetB068 69The directory also contains a dataset, trained model resources, and VGG16 checkpoints.70 71#### Fire Severity Detection72 73`Severity_Detection_Tri_Classification/`74 75Contains resources for three-class fire severity classification:76 77- Mild78- Moderate79- Severe80 81The project includes experiments using:82 83- Xception84- EfficientNetB085 86Additional components include feature extraction, clustering, dimensionality reduction, and dataset preparation.87 88#### Severity Dataset89 90`Severity_Detection_Tri_Classification/Severity_Altered_Dataset/`91 92Contains an image dataset organized into training, validation, and testing splits.93 94```text95severity_dataset/96├── train/97│   ├── mild/98│   ├── moderate/99│   └── severe/100├── val/101│   ├── mild/102│   ├── moderate/103│   └── severe/104└── test/105    ├── mild/106    ├── moderate/107    └── severe/