UppuluriKalyani / ML-Nexus

ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and grow together in the world of AI. Join us to shape the future of machine learning!
https://discord.gg/tctW47VN
MIT License
60 stars 109 forks source link

Feature request: Fruit Classification #429

Closed ramana2074 closed 1 week ago

ramana2074 commented 1 week ago

Is your feature request related to a problem? Please describe. This project implements a fruit image classification model using deep learning techniques. The goal is to classify images of various fruits into their respective categories. The project leverages machine learning and computer vision libraries to preprocess the images and train a model for accurate classification.

Describe the solution you'd like Image preprocessing using OpenCV and PIL libraries. Data augmentation to improve model robustness. Deep learning model implementation using TensorFlow or Keras. Model evaluation using accuracy, precision, recall, and F1-score. Visualizations of training progress (loss and accuracy over epochs).

Additional context Results After training, the model's performance is evaluated, and results such as accuracy, confusion matrix, and classification report are provided. These metrics help in understanding the model's effectiveness.

github-actions[bot] commented 1 week ago

Thanks for creating the issue in ML-Nexus!πŸŽ‰ Before you start working on your PR, please make sure to:

github-actions[bot] commented 1 week ago

Thanks for raising this issue! However, we believe a similar issue already exists. Kindly go through all the open issues and ask to be assigned to that issue.

github-actions[bot] commented 1 week ago

Hello @ramana2074! Your issue #429 has been closed. Thank you for your contribution!