From 63201868197d2c043d90bff8aa4ad722dad19e1b Mon Sep 17 00:00:00 2001 From: VARUNSHIYAM <138989960+Varunshiyam@users.noreply.github.com> Date: Sun, 10 Nov 2024 16:34:23 +0530 Subject: [PATCH 1/2] fixes 874 --- .../tomato-leaf-disease-94-accuracy.ipynb | 464 ++++++++++++++++++ 1 file changed, 464 insertions(+) create mode 100644 Prediction Models/Tomato_Leaf_Disease/tomato-leaf-disease-94-accuracy.ipynb diff --git a/Prediction Models/Tomato_Leaf_Disease/tomato-leaf-disease-94-accuracy.ipynb b/Prediction Models/Tomato_Leaf_Disease/tomato-leaf-disease-94-accuracy.ipynb new file mode 100644 index 00000000..e9015585 --- /dev/null +++ b/Prediction Models/Tomato_Leaf_Disease/tomato-leaf-disease-94-accuracy.ipynb @@ -0,0 +1,464 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + "

🍅🍃 Tomato Leaf Ninja: 🥋 Slicing through Diseases with 94% Accuracy!

\n", + "
\n" + ] + }, + { + "attachments": { + "75a038e7-7b0a-4bc2-b39f-2834dd569c7a.jpeg": { + "image/jpeg": 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" + } + }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### ![_993440dd-122a-4fa4-91a2-cf2831fdd247.jpeg](attachment:75a038e7-7b0a-4bc2-b39f-2834dd569c7a.jpeg)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "> # ***Lets start our Journey towards this task*** " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "---\n", + "## 1. ***Problem Statement***\n", + "---\n", + "\n", + "- Given a dataset of tomato leaf images, the task is to develop a machine learning model that can accurately classify the images into different disease categories. The goal is to help farmers quickly identify and treat diseased tomato plants, thereby improving crop yield and reducing losses.\n", + "---\n", + "## 2. ***Our Working***\n", + "---\n", + "\n", + "- We are using a dataset containing images of tomato leaves affected by various diseases. Our approach involves training a deep learning model on this dataset to classify each image into one of the disease categories. By analyzing the patterns and features in the images, the model can learn to differentiate between healthy and diseased leaves, aiding in the early detection and management of plant diseases." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "> # ***About The Data***" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "## 1. ***Dataset Description:***\n", + "---\n", + "\n", + "- We are using a dataset containing images of tomato leaves affected by various diseases. Each image is labeled with the corresponding disease category.Training dataset contain 10000 labeled images and test/val data contain 1000 labeled images\n", + "---\n", + "## 2. ***Data Preprocessing***\n", + "----\n", + "\n", + "- We load the dataset and preprocess the images to prepare them for training. This includes resizing the images to a consistent size and normalizing the pixel values.We also split the dataset into training and validation sets to evaluate the model's performance.\n", + "---\n", + "## 3. ***Model Building***\n", + "---\n", + "\n", + "- We use a deep learning model, such as a Convolutional Neural Network (CNN), to learn features from the images and classify them into disease categories.The model consists of layers that extract patterns and features from the images, followed by fully connected layers for classification.\n", + "----\n", + "## 4. ***Training the Model:***\n", + "----\n", + "\n", + "- We train the model using the training dataset, adjusting the model's weights based on the difference between predicted and actual disease categories.During training, we monitor the model's performance on the validation set to avoid overfitting.\n", + "---\n", + "## 5. ***Model Evaluation:***\n", + "----\n", + "\n", + "- After training, we evaluate the model's performance on the validation set to assess its ability to generalize to new, unseen data.We use metrics such as accuracy to measure the model's performance.\n", + "----\n", + "## 6. ***Inference:***\n", + "---\n", + "\n", + "- **Once the model is trained and evaluated, we can use it to classify new tomato leaf images into disease categories.**\n", + "\n", + "***```This inference step is crucial for real-world applications, where the model is used to assist farmers in diagnosing plant diseases.\n", + "By understanding the working of this code, beginners and others can gain insights into how machine learning models are developed and deployed for practical applications like plant disease classification.```***" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + "

1 | Importing The Libraries

\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os # Operating system interfaces\n", + "import tensorflow as tf # TensorFlow deep learning framework\n", + "import matplotlib.pyplot as plt # Plotting library\n", + "import matplotlib.image as mpimg # Image loading and manipulation library\n", + "from tensorflow.keras.models import Sequential, Model # Sequential and Functional API for building models\n", + "from tensorflow.keras.optimizers import Adam # Adam optimizer for model training\n", + "from tensorflow.keras.callbacks import EarlyStopping # Early stopping callback for model training\n", + "from tensorflow.keras.regularizers import l1, l2 # L1 and L2 regularization for model regularization\n", + "from tensorflow.keras.preprocessing.image import ImageDataGenerator # Data augmentation and preprocessing for images\n", + "from tensorflow.keras.layers import Dense, Flatten, Dropout, GlobalAveragePooling2D, AveragePooling2D, MaxPooling2D, BatchNormalization \n", + "# Various types of layers for building neural networks\n", + "from tensorflow.keras.applications import DenseNet121, EfficientNetB4, Xception, VGG16, VGG19 # Pre-trained models for transfer learning" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + "

2 | Loading The DataSet

\n", + "
" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**WORKING**\n", + "- The `image_dataset_from_directory` function is used to load image data from a directory.\n", + "- Images are resized to 256x256 pixels and grouped into batches of 32 for training efficiency.\n", + "- Labels are inferred from the directory structure and represented in a categorical format.\n", + "- Pixel values of the images are normalized to a range of [0, 1] by dividing by 255.0." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "train_data = tf.keras.utils.image_dataset_from_directory(\n", + " '/kaggle/input/tomatoleaf/tomato/train',\n", + " labels='inferred',\n", + " label_mode='categorical',\n", + " image_size=(256, 256),\n", + " batch_size=32)\n", + "\n", + "train_data = train_data.map(lambda x, y: (x / 255.0, y))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**WORKING**\n", + "- The image_dataset_from_directory function is used to load validation image data from a directory.\n", + "- Images are resized to 256x256 pixels and grouped into batches of 32 for efficient processing.\n", + "- Labels are inferred from the directory structure and represented in a categorical format.\n", + "- Pixel values of the images are normalized to a range of [0, 1] by dividing by 255.0 for consistent model training." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "val_data = tf.keras.preprocessing.image_dataset_from_directory(\n", + " '/kaggle/input/tomatoleaf/tomato/val',\n", + " labels='inferred',\n", + " label_mode='categorical',\n", + " image_size=(256, 256),\n", + " batch_size=32)\n", + "\n", + "val_data = val_data.map(lambda x, y: (x / 255.0, y))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + "

3 | Visualizing The Data

\n", + "
" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**WORKING**\n", + "\n", + "- The code sets the `path to a directory containing images` of tomato leaves affected by the Tomato Yellow Leaf Curl Virus and so on in the next cells of code.\n", + "- It retrieves a list of all image file names in the directory.\n", + "- Using matplotlib, it displays the first 6 images along with their corresponding labels.\n", + "- For each image, it loads the image, displays it in a subplot, and sets the title to the image label, showing the visual representation of the dataset." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Path to the directory containing images\n", + "path = \"/kaggle/input/tomatoleaf/tomato/train/Tomato___Tomato_Yellow_Leaf_Curl_Virus\"\n", + "\n", + "# Get a list of all image file names in the directory\n", + "image_files = [f for f in os.listdir(path) if os.path.isfile(os.path.join(path, f))]\n", + "\n", + "# Display the first 6 images with their labels\n", + "fig, axs = plt.subplots(2, 3, figsize=(15, 10))\n", + "\n", + "for i in range(6):\n", + " # Get the image file name and its label\n", + " image_file = image_files[i]\n", + " label = image_file.split('.')[0]\n", + "\n", + " # Load and display the image\n", + " img_path = os.path.join(path, image_file)\n", + " img = mpimg.imread(img_path)\n", + " ax = axs[i // 3, i % 3]\n", + " ax.imshow(img)\n", + " ax.axis('off')\n", + " ax.set_title(label)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Path to the directory containing images\n", + "path = \"/kaggle/input/tomatoleaf/tomato/train/Tomato___Bacterial_spot\"\n", + "\n", + "# Get a list of all image file names in the directory\n", + "image_files = [f for f in os.listdir(path) if os.path.isfile(os.path.join(path, f))]\n", + "\n", + "# Display the first 6 images with their labels\n", + "fig, axs = plt.subplots(2, 3, figsize=(15, 10))\n", + "\n", + "for i in range(6):\n", + " # Get the image file name and its label\n", + " image_file = image_files[i]\n", + " label = image_file.split('.')[0]\n", + "\n", + " # Load and display the image\n", + " img_path = os.path.join(path, image_file)\n", + " img = mpimg.imread(img_path)\n", + " ax = axs[i // 3, i % 3]\n", + " ax.imshow(img)\n", + " ax.axis('off')\n", + " ax.set_title(label)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + "

4 | Training The Model

\n", + "
" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**WORKING**\n", + "- The code initializes a `DenseNet121` model with weights pre-trained on the ImageNet dataset.\n", + "- The `include_top=False argument` specifies that the model should not include the fully connected layers at the top of the network, which are typically used for ImageNet classification.\n", + "- The `input_shape=(256,256,3) argument` specifies the shape of the input images that the model expects, which is `256x256` pixels with 3 channels (RGB).\n", + "- The initialized model `conv_base` can be used as a feature extractor to extract features from images, which can then be used as input to a custom classification head." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "conv_base = DenseNet121(\n", + " weights='imagenet',\n", + " include_top = False,\n", + " input_shape=(256,256,3),\n", + " pooling='avg'\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**WHY FALSE ?**\n", + "- Setting conv_base.trainable = False freezes the weights of the pre-trained DenseNet121 model.\n", + "- This is done to prevent the weights from being updated during the training of the custom classification head.\n", + "- Freezing the pre-trained weights helps in utilizing the learned features from the ImageNet dataset without altering them.\n", + "- It also reduces the computational cost and training time, as only the weights of the custom classification head will be trained." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "conv_base.trainable = False" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# # Summary of the pretrained model\n", + "# conv_base.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**WORKING**\n", + "\n", + "- It initializes a Sequential model and adds the `pre-trained` DenseNet121` model (conv_base) ` as the base.\n", + "- The model flattens the output from the base model and adds two fully connected layers with `ReLU activation`.\n", + "- `Batch normalization` is applied after each fully connected layer to improve training stability and speed." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model = Sequential()\n", + "model.add(conv_base)\n", + "model.add(BatchNormalization())\n", + "model.add(Dense(256, activation='relu'))\n", + "model.add(Dropout(0.35))\n", + "model.add(BatchNormalization())\n", + "model.add(Dense(120, activation='relu'))\n", + "model.add(Dense(10, activation='softmax'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**WORKING**\n", + "\n", + "- The compile method is used to configure the model for training.\n", + "- The optimizer=Adam(lr=0.0001) argument specifies the Adam optimizer with a learning rate of 0.0001.\n", + "- The loss='categorical_crossentropy' argument specifies the loss function used for training, which is categorical crossentropy for multi-class classification.\n", + "- The metrics=['accuracy'] argument specifies the metric used to evaluate the model, which is accuracy in this case." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model.compile(optimizer=Adam(lr=0.0001), loss='categorical_crossentropy', metrics=['accuracy'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**WORKING**\n", + "- The `fit` method is used to train the model on the training data (`train_data`) for a specified number of epochs (100 in this case).\n", + "- The `validation_data=val_data` argument specifies the validation data to evaluate the model performance after each epoch.\n", + "- The `callbacks=[EarlyStopping(patience=0)]` argument specifies the use of early stopping to prevent overfitting. The training will stop if the validation loss does not improve after 0 epochs.\n", + "- The `history` variable stores the training history, including metrics such as loss and accuracy, which can be used for analysis and visualization." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# history = model.fit(train_ds,epochs=10,validation_data=validation_ds)\n", + "history = model.fit(train_data, epochs=100, validation_data=val_data, callbacks=[EarlyStopping(patience=0)])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Evaluate the model on the validation data\n", + "evaluation = model.evaluate(val_data)\n", + "\n", + "# Print the evaluation metrics\n", + "print(\"Validation Loss:\", evaluation[0])\n", + "print(\"Validation Accuracy:\", evaluation[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + "

5 | THE END

\n", + "
" + ] + } + ], + "metadata": { + "kaggle": { + "accelerator": "none", + "dataSources": [ + { + "datasetId": 619181, + "sourceId": 1105687, + "sourceType": "datasetVersion" + } + ], + "dockerImageVersionId": 30648, + "isGpuEnabled": false, + "isInternetEnabled": true, + "language": "python", + "sourceType": "notebook" + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.7" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From 2396c53c05a420b1e5b0eb4c13b42afe02ebd4a1 Mon Sep 17 00:00:00 2001 From: VARUNSHIYAM <138989960+Varunshiyam@users.noreply.github.com> Date: Sun, 10 Nov 2024 16:35:02 +0530 Subject: [PATCH 2/2] Create Readme.md --- .../Tomato_Leaf_Disease/Readme.md | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) create mode 100644 Prediction Models/Tomato_Leaf_Disease/Readme.md diff --git a/Prediction Models/Tomato_Leaf_Disease/Readme.md b/Prediction Models/Tomato_Leaf_Disease/Readme.md new file mode 100644 index 00000000..da63097d --- /dev/null +++ b/Prediction Models/Tomato_Leaf_Disease/Readme.md @@ -0,0 +1,19 @@ +# Tomato Leaf Disease Classification + +## Project Description +This project focuses on classifying tomato leaf diseases using a Convolutional Neural Network (CNN) model. The goal is to accurately detect and classify common diseases affecting tomato plants, such as bacterial spot, early blight, late blight, leaf mold, and more. Leveraging a deep learning approach, this project achieves a classification accuracy of approximately 94%, making it a valuable tool for precision agriculture and plant disease management. + +### Technology Stack +- **Python**: For data processing, training, and testing the model. +- **TensorFlow/Keras**: Used for building and training the CNN model. +- **OpenCV**: For image processing tasks, if applicable. +- **NumPy, Pandas**: For data manipulation and handling. +- **Matplotlib/Seaborn**: For data visualization. + +## Problem Statement +Tomato plants are highly susceptible to a variety of diseases that can affect both yield and quality. Traditional methods of diagnosing plant diseases are often time-consuming, prone to error, and reliant on expert knowledge. An automated approach to identifying diseases can improve diagnostic accuracy and enable timely intervention, thereby reducing crop losses and increasing agricultural productivity. This project addresses the challenge by implementing a deep learning-based model capable of classifying multiple tomato leaf diseases with high accuracy. + +## Dataset +The dataset used consists of labeled images of tomato leaves, with each image categorized by the type of disease present. The dataset is split into training, validation, and test sets to evaluate model performance effectively. + +