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updating for 1st project explanation

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Kamila Bobkowska 2020-06-07 14:52:58 +00:00
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@ -49,6 +49,7 @@ Since there are three people in our group we have created and combined three sub
### First subproject
The first subproject was created by Patryk Krawiec (the report can be found [here](https://git.wmi.amu.edu.pl/s444517/AI2020_Project/src/master/Report_Patryk_Krawiec.md)).
This project used **Deep Neural Network** to recognize house numbers visited by the Garbage Truck agent. It is implemented from scratch, has 4 layers and achieved about 97% accuracy. Subproject is mostly located in `numbering.py` file and affects our main project in `Main.py`. To use it properly the concept of paying and not-paying customers was introduced. At the beginning dumpsters are divided between those 2 categories and trash is taken out only when the first one is visited. Dataset on which the network was taught is sklearn dataset of digits.
### Second subproject
The second subproject was created by Kamila Bobkowska (the report can be found [here](https://git.wmi.amu.edu.pl/s444517/AI2020_Project/src/master/Report_Kamila_Bobkowska.md)). This project used **Convolutional Neural Networks** to detect what kind of trash is in the dumpster and sorts it accordingly. It was mainly implemented to to the class `Garbagetruck.py` and `dumpster.py` . It used photos of garbage to determine whether it was sorted correctly. It did so by using CNNs - extracting the most important features from the photos with convolution layers, then using pooling layers and flattening. Along with implementing CNNs the person created a function that assigns trash to dumpsters (between 1 to 3 trash correctly sorted and 0 to 2 incorrectly sorted trash). The data set used was from [kaggle](https://www.kaggle.com/asdasdasasdas/garbage-classification).