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PROJECT
Building a System for Safety Helmet Detection Based on YOLOv5
In this project, we’ll build a system to detect safety helmets in images. We will preprocess the data and perform object detection using the YOLOv5 (You Only Look Once) deep learning model.
You will learn to:
Fine-tune YOLOv5 deep learning model for images.
Perform data preprocessing for the image dataset.
Fine-tune the YOLOv5 model specifically for detecting safety helmets in images.
Perform object detection to identify safety helmets and visualize the results with bounding boxes.
Skills
Deep Learning
Machine Learning
Artificial Intelligence
Computer Vision
Data Manipulation
Prerequisites
Familiarity with Python programming
Familiarity with basic image processing tasks
Familiarity with object detection tasks
Familiarity with the YOLO model architecture
Technologies
YOLO
Python
Matplotlib
Project Description
Object detection is a straightforward task for humans, but programming an application can be complex. In this project, we’ll fine-tune a neural network architecture called YOLO (You Only Look Once) to tackle this challenge. YOLO is an open-source architecture built on PyTorch with a strong track record in image detection tasks. We’ll use it to detect safety helmets in a publicly available dataset from Kaggle. The dataset contains approximately 5,000 images from work sites, annotated with three object classes: helmet, head, and person.
Project Tasks
1
Introduction
Task 0: Get Started
Task 1: Load Packages
Task 2: Explore the Data
Task 3: Preview Labeled Images
2
Data Preparation
Task 4: Split the Data
Task 5: Copy Images
Task 6: Create Labels
Task 7: Create the Configuration File
3
Create YOLO Annotations
Task 8: Generate the Bounding Box Data
Task 9: Write Annotations to Text Files
Task 10: Parse the XML Data
Task 11: Extract XML Annotations for All Data Splits
4
Modeling
Task 12: Clone the YOLOv5 Repository
Task 13: Train the Model
5
Evaluation and Prediction
Task 14: Plot Results
Task 15: Run Object Detection on Test Images
Task 16: Preview Detections
Congratulations!
Relevant Courses
Use the following content to review prerequisites or explore specific concepts in detail.