FRT-fruit-detector
This is a project for Future Ready Talent 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 :
- Open URL
- Click Upload Image Button (top left corner)
- Select Image and Upload (you can see the image below upload image button)
- Click Predict Button (top right corner)
- 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