Object Detection & Image Classification - Free Udemy Course [100% Off]
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Lifetime access • Certificate included
This course includes:
- 📹0 mins on-demand video
- 📄3 articles
- 📥0 downloadable resources
- 📱Access on mobile and TV
- 🏆Certificate of completion
- ♾️Full lifetime access
📖About This Course
Welcome to Object Detection & Image Classification with Pytorch & SSD course. This is a comprehensive project based course where you will learn how to build object detection system, manufacturing defect detection system, waste classification system, and broken road segmentation model using Pytorch, Keras, convolutional neural network, U net, YOLOv, single shot detector, and DETR ResNet. This course is a perfect combination between Python and computer vision, making it an ideal opportunity for you to practice your programming skills while improving your technical knowledge in software development. In the introduction session, you will learn the basic fundamentals of object detection and image classification, such as getting to know how each system works step by step. In the next section, you will learn how to find and download datasets from Kaggle, it is a platform that offers a wide range of high quality datasets from various industries. Before starting the project, you will learn the basics of computer vision like activating cameras and processing images using OpenCV. Afterward, we will start the project, firstly, we are going to build object detection system using Faster R CNN, SSD, YOLOv and Detection Transformers ResNet, those are pre trained models that enable you to detect and classify objects without the need to train them using your own data. Following that, we are going to build a manufacturing defect detection model using Keras and Convolutional Neural Network to classify whether a product is defective or in good condition based on image input. This system will enable users to automatically inspect products using camera or uploaded images, reducing the need for manual quality control checks in factories. Then, after that, we are also going to build a waste classification model using Keras and CNN to distinguish between organic and non organic waste. This system will enable users to automate waste sorting for recycling or disposal purposes by analyzing waste images and accurately identifying materials such as plastic bottles, food waste, papers. In the next section, we are going to build a broken road image segmentation model using the U Net architecture, which is widely used for pixel wise image segmentation tasks. This system will enable users to identify damaged or pothole areas on roads from images, which can assist in infrastructure maintenance and smart city planning.Lastly, at the end of the course, we will conduct testing to make sure the model accuracy is high and the system performs as expected. We will test the system using various inputs such as images, short videos, and real time camera feeds to ensure the features are fully functioning.Well, before getting into the course, we need to ask this question to ourselves, why should we build object detection and image classification models? Well, here is my answer, these models help businesses to automate tasks that were once manual and repetitive, reducing dependency on constant human supervision and improving consistency. This technology is very valuable in industries like manufacturing, waste management, agriculture, retail and transportation. By implementing these systems, businesses can significantly reduce human error and increase processing speed. This will lead to greater efficiency and cost saving.Below are things that you can expect to learn from this course:Learn the basic fundamentals of object detection and image classificationLearn how object detection system works, starting from input image processing, feature extraction, region proposal, bounding box, class prediction, and post processingLearn how image classification system works starting from data collection, labelling, preprocessing, model selection, training, validation, finetuning, and predicting new imageLearn how to activate camera using OpenCVLearn how to build object detection system using Pytorch and SSDLearn how to build object detection system using Pytorch and Faster R-CNNLearn how to build object detection system using YOLOvLearn how to build object detection system using DETR ResNetLearn how to build manufacturing defect detection model using Keras and Convolutional Neural NetworkLearn how to build manufacturing defect detection system using OpenCVLearn how to build waste classification model using Keras and Convolutional Neural NetworkLearn how to build waste classification system using OpenCVLearn how to build broken road image segmentation model using UnetLearn how to build broken road detection system using OpenCVLearn how to test object detection and image classification systems using variety of inputs like images and videos
Object Detection & Image Classification with Pytorch & SSD - Free Udemy Course [100% Off Coupon Code]
Limited-Time Offer: This Development/Data Science Udemy course is now available completely free with our exclusive 100% discount coupon code. Originally priced at $54.99, you can enroll at zero cost and gain lifetime access to professional training. Don't miss this opportunity to master object detection, image classification, and computer vision technologies without spending a dime!
What You'll Learn in This Free Udemy Course
This comprehensive free online course on Udemy covers everything you need to become proficient in computer vision and deep learning for real-world applications. Whether you're a beginner or looking to advance your skills, this free Udemy course with certificate provides hands-on training and practical knowledge you can apply immediately.
- Master object detection using PyTorch, SSD, Faster R-CNN, YOLOv, and DETR ResNet to build intelligent systems that identify and classify objects in images
- Build manufacturing defect detection models using Keras and Convolutional Neural Networks to automate quality control in production environments
- Create waste classification systems that distinguish between organic and non-organic materials for automated recycling and disposal
- Develop broken road segmentation models using U-Net architecture for smart city infrastructure monitoring
- Learn computer vision fundamentals including OpenCV camera activation and image processing techniques
- Download and prepare high-quality datasets from Kaggle for training robust machine learning models
- Test and validate your models using real-time camera feeds, images, and video inputs for reliable performance
- Understand the complete pipeline from data collection to model deployment in computer vision applications
Who Should Enroll in This Free Udemy Course?
This free certification course is perfect for anyone looking to break into the AI and computer vision industry or enhance their existing skills. Here's who will benefit most from this no-cost training opportunity:
- Aspiring data scientists seeking to specialize in computer vision and deep learning
- Software developers wanting to add AI-powered image recognition capabilities to their skillset
- Engineering students looking for practical experience with PyTorch, Keras, and OpenCV
- Career changers seeking to enter the lucrative artificial intelligence and machine learning industry
- Manufacturing professionals interested in automated quality control and defect detection systems
- Environmental tech enthusiasts wanting to build waste management and smart city solutions
- Freelance developers looking to expand their AI project portfolio with computer vision applications
Meet Your Instructor
Learn from Christ Raharja, an experienced professional in computer vision and machine learning. With a proven track record of teaching complex AI concepts in an accessible way, Christ specializes in bridging the gap between theory and real-world implementation. His practical, project-based approach ensures you'll gain immediately applicable skills rather than just theoretical knowledge.
Course Details & What Makes This Free Udemy Course Special
With an impressive rating and 33 students already enrolled, this Udemy free course has proven its value. The course includes 3 comprehensive lessons and X hours of video tutorials, all taught in English. What sets this free online course apart is its focus on building four complete, real-world computer vision systems from scratch - object detection, defect detection, waste classification, and road damage identification. Upon completion, you'll receive a certificate to showcase on LinkedIn and your resume. Plus, with mobile access, you can learn anytime, anywhere—perfect for busy professionals. This Development course in the Data Science niche is regularly updated and includes lifetime access, meaning you can revisit materials whenever you need a refresher.
How to Get This Udemy Course for Free (100% Off)
Follow these simple steps to claim your free enrollment:
- Click the enrollment link to visit the Udemy course page
- Apply the coupon code: F6ED60E1454A02E918C3 at checkout
- The price will drop from $54.99 to $0.00 (100% discount)
- Complete your free enrollment before July 13, 2025
- Start learning immediately with lifetime access
⚠️ Important: This free Udemy coupon code expires on July 13, 2025. The course will return to its regular $54.99 after this date, so enroll now while it's completely free. This is a legitimate, working coupon—no credit card required, no hidden fees, no trial periods. Once enrolled, the course is yours forever.
Why You Should Grab This Free Udemy Course Today
Here's why this free certification course is an opportunity you can't afford to miss: First, computer vision skills are among the highest-paying AI specializations, with professionals earning $100,000+ annually. Second, the projects you'll build—defect detection, waste classification, and road monitoring—are exactly what companies are paying top dollar for. Third, having four complete computer vision systems in your portfolio makes you instantly more competitive in the job market. Fourth, this comprehensive training would normally cost hundreds of dollars, but you're getting it completely free with our exclusive coupon code.
Frequently Asked Questions About This Free Udemy Course
Is this Udemy course really 100% free?
Yes! By using our exclusive coupon code F6ED60E1454A02E918C3, you get 100% off the regular $54.99 price. This makes the entire course completely free—no payment required, no trial period, and no hidden costs. You'll have full access to all course materials just like paying students.
How long do I have to enroll with the free coupon?
This limited-time offer expires on 2025-07-13T00:32:14+00:00. After this date, the course returns to its regular $54.99. We highly recommend enrolling immediately to secure your free access. The coupon has limited redemptions available.
Will I receive a certificate for this free Udemy course?
Absolutely! Upon completing all course requirements, you'll receive an official Udemy certificate of completion. This certificate can be downloaded, shared on LinkedIn, and added to your resume to showcase your new skills to employers.
Can I access this course on my phone or tablet?
Yes! This course is fully compatible with the Udemy mobile app for iOS and Android. Download the app, enroll with the free coupon, and learn on-the-go. You can watch videos, complete exercises, and track your progress from any device.
How long do I have access to this free course?
Once you enroll using the free coupon code, you get lifetime access to all course materials. There's no time limit—learn at your own pace, revisit lessons anytime, and benefit from future updates at no additional cost. Your one-time free enrollment gives you permanent access.
Frequently Asked Questions
Q: Is this course really free?
Yes! Using our verified coupon code, you can enroll for 100% OFF. No hidden charges.
Q: Do I get a certificate?
Upon completion of all video lectures, Udemy will issue a certificate of completion.
Q: How long is my access?
Once you enroll with the coupon, you get full lifetime access to the materials.
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