Fruit Detection using Image Processing
Fruit Ripeness Detection using YoloV11 Algorithm, this project is web based and user can upload image, video and it works on real-time basis. User can upload any image to model and it will identify the fruits and show the ripeness it works similar on video. For the Real-Time it will open user laptop front camera and it will recognize the fruit and show ripeness status. This project is trained on large dataset of fruit images like Banana, Orange, Mango, Papaya, Strawberry and Dragon Fruit.
Fruit Detection using Deep Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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