Classification and Object Detection

This project focuses on implementing and analyzing different Machine Learning and Deep Learning models for classification and object detection tasks.
It includes experiments with SVM, MLP, CNN, and MLP-based inverse kinematics prediction, as well as deep learning-based object detection (YOLO).

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Description

This project includes five main problems:

1. **SVM – Implementation of a Support Vector Machine classifier for binary classification tasks.
2. **MLP Backpropagation – A fully connected neural network trained using backpropagation.
3. **CNN – A Convolutional Neural Network for image classification.
4. **IKP with MLP – Solving inverse kinematics of a robotic system using an MLP regressor.

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How to Run

1. Clone this repository:

   git clone https://github.com/mehrsedaghat/Classification-and-Object-Detection.git
   cd Classification-and-Object-Detection