| Name | Roll |
|---|---|
| Sagar Dash | 241174 |
| Md. Atiqur Rahman | 241172 |
| Jannatul Ferdous | 241160 |
This project is a part of the course "Deep Learning" at Jahangirnagar University. The goal of this project is to detect vegetables in images. The dataset consists of 10 different classes of vegetables. The dataset is split into a training and a test set. The training set contains 10,000 images and the test set contains 2,3115 images.
The dataset contains 36 classes of vegetables. The classes are:
"apple",
"banana",
"beetroot",
"bell pepper",
"cabbage",
"capsicum",
"carrot",
"cauliflower",
"chilli pepper",
"corn",
"cucumber",
"eggplant",
"garlic",
"ginger",
"grapes",
"jalepeno",
"kiwi",
"lemon",
"lettuce",
"mango",
"onion",
"orange",
"paprika",
"pear",
"peas",
"pineapple",
"pomegranate",
"potato",
"raddish",
"soy beans",
"spinach",
"sweetcorn",
"sweetpotato",
"tomato",
"turnip",
"watermelon"Screenshot of the app:
