Problem Statement: Road Object Detection with Deep Learning
This project was developed as part of the Intel Unnati Industrial Training Program in Summer 2023. It focuses on detecting road objects using deep learning techniques. The project leverages Jupyter Notebooks for data processing, model training, and evaluation.
To use the project, launch Jupyter Notebook and open the provided notebooks. Follow the steps in the notebooks to preprocess the data, train the model, and evaluate its performance.
- Data Preprocessing: Techniques to clean and prepare data for model training.
- Model Training: Implementation of deep learning models for road object detection.
- Evaluation: Methods to evaluate the performance of the models.