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Build a Object Detection using YOLOv7

Create an advanced object detection system with YOLOv7 and Python. Learn dataset preparation, model training, and real-time detection on images and video streams.
Intermediate-level. Certificate included.

4.5/5 (1,000+ reviews)
2,000+ Students
8 Weeks
Zero to Pro Level
Certificate

Our Instructors Collaborate With Top Tech Leaders

Google Startups
AWS
Microsoft Microsoft
NVIDIA NVIDIA

What You'll Learn in this course

By the end of this course, you'll have the skills to land your first computer vision job or freelance clients.

Introduction to Object Detection Technology

Learn how AI identifies and locates multiple objects within images or video frames..

Python, OpenCV & YOLO/Deep Learning Models

Use Python with OpenCV and object detection models like YOLO or SSD for accurate results.

Live Object Detection using Camera Feed

Build a real-time system that detects and labels objects from a live webcam or CCTV feed.

Database Integration & Detection Logs

Log detected objects, counts, and timestamps into a structured database for analysis.

Graphical User Interface (GUI) with Tkinter

Design an intuitive GUI to display live detections and object information.

Earn Your Course Completion Certificate

Finish the course and receive a verified certificate of success.

Module 1 Video

Meet Your Instructor

Muhammad Yaqoob is the founder of Tentosoft Pvt Ltd and a seasoned Computer Vision expert. With 10+ years of experience and over 5,000+ students taught globally, he brings deep industry knowledge and a passion for practical, hands-on learning.

Course Curriculum

8 weeks of comprehensive training with 50+ lessons and 10+ hours of content

1
Introduction of the Object Detection using yolov7
1min
Module 1 Video

Module 1

Introduction of the Object Detection using yolov7

Object Detection introduces how computers can visually identify objects in images or video. YOLOv7 is a state-of-the-art algorithm built to detect these objects with high speed and accuracy.

Course Overview and Features

Detect objects in images/videos.

High speed and accuracy.

Use in CCTV and safety

Test and deploy models.

2
Environment setup for Python Development
3min
Module 1 Video

Module 2

Environment Setup for Python Development

Setting up Python and its development tools is the foundation of building AI applications. This ensures the environment is ready to run and develop object detection models.

Installing Python

VS Code Setup for Python Development

3
Object Detection Project Overview
1min
Module 1 Video

Module 3

Object Detection Project Overview

This section outlines the project goals and use cases, helping you understand the real-world application and structure of the object detection solution.

Object Detection Project Overview

Learn real use cases

Focus on real scenarios

Build a practical system

4
Understanding Key Packages for Object Detection
1min
Module 1 Video

Module 4

Understanding Key Packages for Object Detection

This part introduces important Python libraries and files used to load and run object detection models efficiently, especially for YOLOv7.

Understanding Key Packages for Object Detection

Learn key Python libs

Process detections fast

Boost code efficiency

5
Understanding the YOLOv7-tiny Model Weights
1min
Module 1 Video

Module 5

Understanding the YOLOv7-tiny Model Weights

YOLOv7-tiny is a lightweight object detection model optimized for speed and performance on edge devices. This section explains the structure and purpose of the model's weight files, helping you understand how pre-trained knowledge is used to detect objects efficiently in real-time.

Detailed Explanation of the YOLOv7-tiny.pt File

Fast and lightweight

Speed with good accuracy

6
Real Time Object Detection with YOLOv7-tiny
4min
Module 1 Video

Module 6

Real Time Object Detection with YOLOv7-tiny

You'll learn how to use YOLOv7 with live video input to detect objects instantly, simulating real-time surveillance or detection systems.

Implementing YOLOv7-tiny for Live Video Analysis

Detect from live videos

Fast and smooth results

7
Building a Tkinter GUI for Real-Time Object Detection
4min
Module 1 Video

Module 7

Building a Tkinter GUI for Real-Time Object Detection

This section walks you through creating a simple yet functional graphical user interface using Tkinter. It allows you to integrate real-time object detection visually, enabling user-friendly interaction with the YOLOv7-tiny model through buttons, video feeds, and result displays.

Integrating YOLOv7-tiny with a Tkinter GUI

Create GUI with Tkinter

Visualize detection easily

8
Executing Real time Model Inference for Object Detection
2min
Module 1 Video

Module 8

Executing Real time Model Inference for Object Detection

Model inference allows you to apply the YOLOv7 model to input images or video, generating object predictions as output.

Performing Real-Time Object Detection with YOLOv7-tiny

Get object predictions

Perform real-time inference

Fast model execution

9
Wrapping Up
1min
Module 1 Video

Module 9

Wrapping Up

Summarizes what you’ve built, discusses potential improvements, and provides guidance on how to deploy or extend the system in real-world use cases.

Course Wrap-Up

Analyzing feedback and identifying patterns

Iterating designs based on user insights

Who This Course Is For

Is This Course Right for You?

AI Enthusiasts

Kickstart your AI journey with structured, hands-on learning.

Students & Freshers

Build a portfolio that recruiters can't ignore.

Developers

Add powerful AI/CV features to your apps and software.

Working Professionals

Upskill for higher-paying, future-ready tech roles.

Freelancers & Founders

Build Smarter, more intelligent applications.

Career Switchers

Transition into AI even with zero background.

Simple, Transparent Pricing

One-time payment for lifetime access to all course materials and updates

Learn With Our best mentors

Get hands-on experience with real-world projects designed to sharpen your technical skills and build your confidence. Each project is crafted to help you apply concepts practically, write cleaner code, and prepare for real developer challenges.

Key Values

Build Job-Ready Project Portfolios
Improve Debugging and Code Clarity
Experience Project-Based Learning
Boost Resume with Real Implementations

Pro Courses

₹499 Originally priced ₹999
Upgrade your learning with advanced content and mentor access

Highly recommended for small teams who seek to upgrade their time & perform.

PREMIUM DOWNLOADABLE RESOURCES
COURSE COMPLETION CERTIFICATE
MENTOR SUPPORT & PRIVATE COMMUNITY
LIFETIME UPDATES & PRIORITY SUPPORT

Course Purchase

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Our Mentors

Muhammad Yaqoob

MUHAMMAD YAQOOB

Product Head
Pandian

PANDIAN

Senior AI Developer
Gowtham

GOWTHAM

Senior Edge AI Developer

Get Official Certified & Showcase Your Achievement 🔥

You can add this certificate in your Resume! Share it with your LinkedIn network 🚀

Instantly downloadable upon course completion
Recognized by industry professionals worldwide
Perfect for LinkedIn profile and resume enhancement
Certificate

Exclusive Free Bonuses Included With Your Course

Downloadable Source Code

Get full project code for 20+ real-world applications – build, customize, and learn hands-on with working solutions.

Live Doubt-Clearing Sessions

Join weekly live Q&As to resolve queries and deepen your understanding with real-time support

Soft Skills & Career Growth Kit

Enhance your confidence with communication tips, resume builder templates, and personal branding guides tailored for tech careers.

Private Learners Community

Get feedback, share wins, and grow with other learners in a safe and supportive environment.

Total Bonus Value: ₹20,000

Enroll today to claim all bonuses before the offer expires!

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FAQ Section

What will I learn in the Object Detection Using YOLOv7 project?
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You’ll gain practical experience in real-time object detection using the YOLOv7 deep learning model, training your own dataset, and implementing detection in Python.
Is YOLOv7 suitable for beginners to learn object detection?
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Yes, this course is simplified for learners new to YOLO and object detection. It walks you through dataset preparation, model training, and real-time testing.
What industries use YOLO-based object detection systems?
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YOLO models are widely used in smart surveillance, robotics, e-commerce, traffic analysis, and autonomous systems.
Will I get hands-on training in dataset annotation and model fine-tuning?
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Yes. You’ll learn how to annotate custom datasets, fine-tune YOLOv7 models, and deploy them in live video streams.
What makes this course ideal for someone pursuing a career in AI?
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Real-time object detection is a core skill in AI and computer vision roles. Completing this project helps you stand out in job interviews or freelance projects.
Will I get lifetime access to the source code and course content?
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Yes, once purchased, you’ll receive permanent access to source files, training videos, and project documentation.