Feature request: Fruit Classification

[ramana2074]

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]]

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[github-actions[bot]]

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]]

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