Wild Animals Detection and Alert System

Animal Detection and Classification using YOLO

🤖 This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. Each classifier is built using deep learning techniques and pre-trained models to accurately identify and categorize images based on their respective classes. Also includes a sample Flask backend!

Animal Body Condition Score (BCS) Classification using deep learning and traditional ML approaches. Classifies animals into weight categories (Underweight/Healthy/Overweight) based on body length measurements from AP-10K animal pose dataset keypoints.

An animal classification system developed using transfer learning with the ResNet50 convolutional neural network pre-trained on ImageNet. Designed to distinguish between three classes of animals—cats, dogs, and snakes—the system demonstrates a high accuracy of approximately 98.67% on a balanced dataset comprising 3,000 images.

Animal classification using transfer learning with ResNet50

The homework 2 of AI course of HUST CS. Generative method and CNN (ResNet50) method.

A Django-based web platform that hosts multiple image classification models under one unified interface. Upload an image and get the predicted result instantly.

This is an end-to-end animal face classification model with Keras, KerasTuner, Mlflow, SQLite, Streamlit, and FastAPI which can classify animal faces as either cat, dog or wildlife

Custom trained YOLOv8 model (98.72% accuracy) to identify two wildlife species : Fishing Cat and Hyena with frontend in HTML and backend using FastAPI.

Python Flask and Streamlit web app that uses a ResNet50 PyTorch model to classify 15 animal categories with high accuracy. Upload images and get instant, real-time predictions via a clean, user-friendly interface.

What is the name of this Animal? Just for fun:)

A basic Python project for animal classification using rule-based logic and functions. Implemented with Jupyter Notebook for educational and experimental purposes.

A simple yet powerful web application built with Streamlit to classify animal images using a custom-trained YOLOv8 model.

Animal special classification model

Project 7: Animal Classification Detection | from Unified Mentor Pro. Limited

Different pics of dogs, cats and pandas were used and applied CNN on them to find out their type.

CNN-based dog breed classifier in PyTorch with custom dataset and data augmentation.