The homework 2 of AI course of HUST CS. Generative method and CNN (ResNet50) method.
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Updated
Dec 19, 2024 - Python
The homework 2 of AI course of HUST CS. Generative method and CNN (ResNet50) method.
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.
Animal classification using transfer learning with ResNet50
What is the name of this Animal? Just for fun:)
Different pics of dogs, cats and pandas were used and applied CNN on them to find out their type.
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
Wild Animals Detection and Alert System
🤖 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!
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