https://github.com/alloc7260/frt-fruit-detector
A WebApp that detect fruits from image. Designed using HTML5, CSS3, JAVASCRIPT, PYTHON, FLASK, AZURE(cognitive-services, custom-vision, app-service)
https://github.com/alloc7260/frt-fruit-detector
app-service azure cognitive-services css custom-vision flask html javascript python
Last synced: 2 months ago
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A WebApp that detect fruits from image. Designed using HTML5, CSS3, JAVASCRIPT, PYTHON, FLASK, AZURE(cognitive-services, custom-vision, app-service)
- Host: GitHub
- URL: https://github.com/alloc7260/frt-fruit-detector
- Owner: alloc7260
- Created: 2022-05-27T12:32:26.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-10-26T17:03:27.000Z (over 1 year ago)
- Last Synced: 2025-01-21T09:48:49.141Z (4 months ago)
- Topics: app-service, azure, cognitive-services, css, custom-vision, flask, html, javascript, python
- Language: CSS
- Homepage: https://fruit-detector-01.azurewebsites.net/
- Size: 108 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# FRT-fruit-detector
## Fruit Detection Web App
### This is a project for [Future Ready Talent](https://futurereadytalent.in/) Internship.
### Which is based on Microsoft Azure Cloud Services.
A WebApp that detect fruits from image.
Designed using HTML5, CSS3, JAVASCRIPT, PYTHON, FLASK, AZURE(cognitive-services, custom-vision, app-service).
This Project is only for DEMO purpose so currently only detecting 4 fruits => Apple, Banana, Green Apple, and Orange.
### How To Run :
1) Open [URL](https://fruit-detector-01.azurewebsites.net/)
2) Click Upload Image Button (top left corner)
3) Select Image and Upload (you can see the image below upload image button)
4) Click Predict Button (top right corner)
5) Boom! (detected image can be seen below predict button)
PIP Requirements:
* azure-cognitiveservices-vision-customvision==3.1.0
* Flask==2.0.2
* matplotlib==3.5.1
* msrest==0.6.21
* numpy==1.22.1
* Pillow==9.1.1
* python-dotenv==0.20.0
BROWSER Recommendations for best view:
* Device: Desktop
* Browsers: Chrome, Safari, Opera, Edge, Brave
* Resolution: 1920*1080
* OS: Windows, macOS
* Zoom: 100%, Fullscreen
## Website : https://fruit-detector-01.azurewebsites.net/
## YouTube : https://youtu.be/jdPhncs-xSg