Object Detection using Vision Transformers and YOLO

This repository contains implementations for object detection using advanced deep learning techniques, including Vision Transformers and YOLO.

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Note

All code files are currently under review and will be uploaded soon as a Jupyter Notebook (.ipynb) file for easier accessibility and experimentation.

Project Overview

This project showcases object detection models implemented using Vision Transformers and YOLO architectures. Each implementation demonstrates how to process datasets, train models, and visualize detection results.

1. Object Detection using Vision Transformers

Explore object detection with Vision Transformers: Link to Kaggle Notebook

2. Object Detection using YOLO

Dive into object detection using YOLO: Link to Google Colab Notebook

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Authors

• Samer FNIS
• Mayank GUPTA

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References

Below are some useful references and resources that helped in developing this project:

1. Keras Vision Transformer Example
2. Vision Transformers for Object Detection (Labellerr Blog)
3. YOLO Training Guide on DigitalOcean
4. YouTube Tutorial on Vision Transformers
5. ChatGPT

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Feel free to explore, contribute, or use these models as a reference for your object detection projects!