Recyclable Waste Classifier using Computer Vision | OpenCV Python
We will be implementing the waste classification. Biodegradable or recycled or non-recycled type of waste. Based on the waste quantity and waste, we will be giving the reward. That is the core. we have done the training. There’s a dataset. Basically, we have used YOLO algorithm, YOLO version is basically of the detection algorithm. So we have done the, labor training. I found this data on RoboFlow. RoboFlow is a a website where we can identify get that dataset. So it is basically complete the dataset with almost 10,000 images of different type of waste. You can download the images, and then you can do the testing and training. So we basically use detection algorithm, which is implemented using CNN algorithm.
Waste Classification using Machine 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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