https://github.com/truongnv-hut/aicandy_website_imageclassification_kgqipnbv
Deploy an Image classification website with Ngrok
https://github.com/truongnv-hut/aicandy_website_imageclassification_kgqipnbv
aicandy artificial-intelligence deep-learning deploy image-classification machine-learning
Last synced: 4 months ago
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Deploy an Image classification website with Ngrok
- Host: GitHub
- URL: https://github.com/truongnv-hut/aicandy_website_imageclassification_kgqipnbv
- Owner: TruongNV-hut
- Created: 2024-11-01T10:32:30.000Z (8 months ago)
- Default Branch: master
- Last Pushed: 2024-11-01T11:29:20.000Z (8 months ago)
- Last Synced: 2025-01-17T03:13:24.610Z (5 months ago)
- Topics: aicandy, artificial-intelligence, deep-learning, deploy, image-classification, machine-learning
- Language: HTML
- Homepage: https://aicandy.vn/
- Size: 12.2 MB
- Stars: 20
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Deploy an Image classification website with Ngrok
The source code in this repository is a website generator built with Python and ngrok for image recognition tasks. This basic program is designed to help you understand how to implement AI models on websites, and we hope it supports you on your journey to explore artificial intelligence.
## Ngrok
Ngrok is a tool that allows developers to expose a local server to the internet by creating secure tunnels. It provides a public URL, which can be used to access a web application running on your local machine from anywhere in the world. This is particularly useful for testing webhooks, sharing development work, or demonstrating projects without needing to deploy them. Ngrok also offers features like request inspection, replaying requests, and access control, making it a versatile tool for local development and debugging.
## Image Classification
Image classification is a fundamental problem in computer vision where the goal is to assign a label or category to an image based on its content. This task is critical for a variety of applications, including medical imaging, autonomous vehicles, content-based image retrieval, and social media tagging.
## ❤️❤️❤️
```bash
If you find this project useful, please give it a star to show your support and help others discover it!
```
## Getting Started
### Clone the Repository
To get started with this project, clone the repository using the following command:
```bash
git clone https://github.com/TruongNV-hut/AIcandy_Website_ImageClassification_kgqipnbv.git
```
### Deploy
```bash
python AIcandy_website_app_rvemyich.py
```
### Video Demo
Youtube: https://youtu.be/m6bDvYWgyLg
### More Information
To learn more about this project, [see here](https://aicandy.vn/huong-dan-trien-khai-phan-loai-hinh-anh-tren-website-mien-phi).
To learn more about knowledge and real-world projects on Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), visit the website [aicandy.vn](https://aicandy.vn/).
❤️❤️❤️