You will get fruit and vegetable recognition system using cnn
Waqas A.
You will get fruit and vegetable recognition system using cnn
Waqas A.
Project details
Deep Learning-based Fruit and Vegetable Recognition System" project apart is our commitment to delivering exceptional quality and accuracy through a combination of rigorous data preprocessing, advanced CNN architecture design, and meticulous model training and validation. Unlike generic recognition systems, our project focuses specifically on the nuanced task of fruit and vegetable recognition, ensuring precise identification even among visually similar items. Additionally, our dedication to ongoing support and maintenance guarantees long-term reliability and satisfaction for you, setting us apart as a reliable partner for cutting-edge computer vision solutions.
Machine Learning Tools
ChatGPT, Keras, Microsoft Excel, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlow$15
- Delivery Time 1 day
- Number of Revisions 1
- Number of Model Variations 1
- Number of Scenarios 1
- Number of Graphs/Charts 4
- Model Validation/Testing
- Data Source Connectivity
- Source Code
About Waqas
Machine Learning Engineer
Gujrat, Pakistan - 1:30 am local time
Furthermore I already created prediction models, recommendation systems and compare results of different models according to need of various clients.
Steps for completing your project
After purchasing the project, send requirements so Waqas can start the project.
Delivery time starts when Waqas receives requirements from you.
Waqas works on your project following the steps below.
Revisions may occur after the delivery date.
Project Scope Definition and Requirements Gathering
Initially, I'll collaborate with you to define the scope of the project and gather detailed requirements, including the types of fruits and vegetables to be recognized.