Wild Animals Detection and Alert System
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Updated
Dec 13, 2025 - Python
Wild Animals Detection and Alert System
Project 10: Animal Classification Detection | from Unified Mentor Pro. Limited
🤖 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!
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 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.
A Django-based web platform that hosts multiple image classification models under one unified interface. Upload an image and get the predicted result instantly.
CNN-based dog breed classifier in PyTorch with custom dataset and data augmentation.
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.
The homework 2 of AI course of HUST CS. Generative method and CNN (ResNet50) method.
Custom trained YOLOv8 model (98.72% accuracy) to identify two wildlife species : Fishing Cat and Hyena with frontend in HTML and backend using FastAPI.
Animal classification using transfer learning with ResNet50
A basic Python project for animal classification using rule-based logic and functions. Implemented with Jupyter Notebook for educational and experimental purposes.
Animal Detection and Classification using YOLO
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
Different pics of dogs, cats and pandas were used and applied CNN on them to find out their type.
Animal special classification model
What is the name of this Animal? Just for fun:)
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