MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.
This project implements horse-human detection using a Convolutional Neural Network (CNN) model. The CNN architecture consists of multiple convolutional and pooling layers followed by dense layers for classification. The trained model is integrated into a Streamlit web app for user-friendly image classification.
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[x] I've read the contribution guidelines.
[x] I've checked the issue list before deciding what to submit.
[x] I've edited the README.md and link to my code.
Description
This project implements horse-human detection using a Convolutional Neural Network (CNN) model. The CNN architecture consists of multiple convolutional and pooling layers followed by dense layers for classification. The trained model is integrated into a Streamlit web app for user-friendly image classification.
Checklist
Related Issues or Pull Requests