Course Overview
- Course Title: Facial Recognition Using YOLOv7: Deep Learning Project using Roboflow and Google Colab
- Instructor: ARUNNACHALAM SHANMUGARAAJAN
- Target Audience:
- Individuals interested in deep learning and computer vision
- Professionals aiming to build facial recognition systems
- Beginners with a basic understanding of machine learning
- Prerequisites:
- Access to a computer with internet connectivity
- Basic understanding of machine learning and computer vision concepts
Curriculum Highlights
- Key Topics Covered:
- Introduction to Facial Recognition and YOLOv7
- Setting Up the Project Environment
- Data Collection and Preprocessing
- Annotation of Facial Images
- Integration with Roboflow
- Training YOLOv7 Model
- Model Evaluation and Fine-Tuning
- Deployment of the Model
- Ethical Considerations in Facial Recognition
- Key Skills Learned:
- Understanding YOLOv7 for facial recognition
- Setting up project environment and tools
- Collecting and preprocessing facial datasets
- Annotating facial images for training
- Integrating Roboflow for dataset management
- Training and evaluating YOLOv7 models
- Deploying facial recognition models
- Ethical considerations in biometric data use
Course Format
- Duration: 1 hour on-demand video
- Format: Self-paced online course
- Resources:
- Assignments
- 1 downloadable resource
- Access on mobile and TV
- Certificate of completion