Free Coupon Code Facial Recognition with YOLOv7: AI Deep Learning Project 100% OFF

Udemy coupon code for Facial Recognition with YOLOv7: AI Deep Learning Project course taught by ARUNNACHALAM SHANMUGARAAJAN, which has 8,106 students and is rated 4.2 out of 38 votes. This course is about 1 hour(s) in English and was updated on March 29, 2025. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

Master Facial Recognition AI with YOLOv7, Deep Learning, Python, and OpenCV to build a real-time Project

Facial Recognition Using YOLOv7: Deep Learning Project using Roboflow and Google Colab

Course Description:

Are you interested in building an advanced facial recognition system using YOLOv7 and Deep Learning? This hands-on project-based course will teach you how to train, optimize, and deploy a real-time face detection & recognition model using Python, OpenCV, and YOLOv7.

By the end of this course, you’ll have a fully functional AI-powered facial recognition system that can detect and recognize faces from images and live video streams.

What You Will Learn:

1. Introduction to Facial Recognition and YOLOv7:

   • Gain insights into the significance of facial recognition in computer vision and understand the fundamentals of the YOLOv7 algorithm.

2. Setting Up the Project Environment:

   • Learn how to set up the project environment, including the installation of necessary tools and libraries for implementing YOLOv7 for facial recognition.

3. Data Collection and Preprocessing:

   • Explore the process of collecting and preprocessing datasets of faces, ensuring the data is optimized for training a YOLOv7 model.

4. Annotation of Facial Images:

   • Dive into the annotation process, marking facial features on images to train the YOLOv7 model for accurate and robust facial recognition.

5. Integration with Roboflow:

   • Understand how to seamlessly integrate Roboflow into the project workflow, leveraging its features for efficient dataset management, augmentation, and optimization.

6. Training YOLOv7 Model:

   • Explore the end-to-end training workflow of YOLOv7 using the annotated and preprocessed dataset, adjusting parameters and monitoring model performance.

7. Model Evaluation and Fine-Tuning:

   • Learn techniques for evaluating the trained model, fine-tuning parameters for optimal facial recognition, and ensuring robust performance.

8. Deployment of the Model:

   • Understand how to deploy the trained YOLOv7 model for real-world facial recognition tasks, making it ready for integration into applications or security systems.

9. Ethical Considerations in Facial Recognition:

   • Engage in discussions about ethical considerations in facial recognition, focusing on privacy, consent, and responsible use of biometric data.

Enroll now & become an expert in Facial Recognition AI using YOLOv7!