Cats and dogs detection using YOLOv11
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Updated
Jan 19, 2026 - Python
Cats and dogs detection using YOLOv11
A Streamlit-based Cat vs Dog image classifier using a CNN trained with TensorFlow and Keras.
This repository contains code and resources for building, training, and evaluating deep learning models for cat vs dog classification using PyTorch.
Python bot for farming Cats&Dogs telegram bot.
This project uses OpenAI's CLIP model and a Fisher algorithm to classify cat and dog images. The dataset is split into training and testing sets, embeddings are extracted with CLIP, and the Fisher algorithm is applied to classify the images. Performance is evaluated with accuracy, precision, recall, and F1 score, visualized with a confusion matrix.
A deep learning model to classify between dogs and cats using Keras
cat-dog classifer
Are you a cat or a dog?😹 vs 🐕🦺这是一个基础的猫狗分类项目,采用Tensorflow框架构建,包含了训练、测试与推理部分~~💖
Tensorflow binary image classifier based on ResNet50
Machine learning Self study - Solution to classify whether given image contains either a dog or a cat.
Binary image classification
A flask based web application to differentiate between cats and dogs
Cat or Dog with TensorFlow, first attempt
Classify whether an image contains a cat or a dog and what is it's breed
Using Pytorch with Django To distinguish Cats from Dogs by Fine Tuning pretrained Model.
Trying to create and train a model to classify dogs and cats
Object detection using Microsoft Azure Custom vision pb tensorflow file
In this repository, you will find a deep learning python project to classify 3 classes of images
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