https://github.com/mohammedsaqibms/car-detection-for-autonomous-driving
This repository implements a car detection system using the YOLO algorithm for real-time object detection in images.
https://github.com/mohammedsaqibms/car-detection-for-autonomous-driving
car-detection computer-vision deep-learning image-processing object-detection real-time yolo
Last synced: 3 months ago
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This repository implements a car detection system using the YOLO algorithm for real-time object detection in images.
- Host: GitHub
- URL: https://github.com/mohammedsaqibms/car-detection-for-autonomous-driving
- Owner: MohammedSaqibMS
- Created: 2025-01-06T05:37:23.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-02-19T16:04:34.000Z (3 months ago)
- Last Synced: 2025-02-19T17:22:43.317Z (3 months ago)
- Topics: car-detection, computer-vision, deep-learning, image-processing, object-detection, real-time, yolo
- Language: Python
- Homepage:
- Size: 46.9 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🚗 Autonomous Driving - Car Detection
This repository implements a car detection system using the YOLO (You Only Look Once) algorithm. YOLO is a state-of-the-art object detection model known for its speed and accuracy. The code demonstrates the use of TensorFlow and Keras to filter and visualize bounding boxes for detecting cars in an image.
## 🎓 Credits
This repository is inspired by the Deep Learning Specialization by [DeepLearning.AI](https://www.deeplearning.ai/courses/deep-learning-specialization/). The YOLO implementation and techniques used here are aligned with their teachings. A special thanks to the creators for their exceptional resources. 🌟