YOLO: Custom Object Detection & Web App in Python

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G Sudheer,datascience Anywhere,Brightshine Learn

2:59:02

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1. Introduction

1. Install Python.mp4

02:23

2. Install Virtual Environment.mp4

02:16

3. Install Python Packages.mp4

01:55

4. Dos & Donts in Data Collection and Labeling.mp4

04:03

2. Data Preparation

1.1 1 datapreparation.zip

1.2 data images.zip

1. Collect Data.mp4

04:49

2. Labeling.mp4

06:22

3. Get List of XML files in Python.mp4

06:55

4. Read & Extract Labels Data from XML files.mp4

08:48

5. Read & Extract Labels Data from XML files part2.mp4

03:56

6. Convert Labels information into Pandas Dataframe.mp4

03:23

7. Labels for YOLO model.mp4

04:20

8. Create Labes for YOLO model in Python.mp4

04:20

9. Split DataImages into train and test sets.mp4

05:44

10. LABEL ENCODING TO OBJECTS.mp4

02:54

11. Create Train & Test Folder.mp4

02:37

12. Create Function and Move Train image, and label text in train folder.mp4

13:14

13. Move Test images, and label text in test folder.mp4

03:06

3. Training YOLO Model

1. Create YAML file.mp4

02:37

2. Google Drive Resources.html

3. Setting Up Google Colab.mp4

05:31

4. Get YOLO v5 repository.mp4

04:35

5. Training YOLO v5 model.mp4

07:16

6. Save YOLO model.mp4

06:57

7. Results & Evaluation.mp4

06:46

4. Prediction from YOLO Model

1. What we will do.mp4

05:34

2. Step-1, Load data.yaml file.mp4

01:34

3. Step-2 Load YOLO model with OpenCV.mp4

02:33

4. Step-3 Get detection from YOLO model.mp4

08:51

5. Understand YOLO model output detections.mp4

02:05

6. Non Maximum Suppression - part 1.mp4

10:07

7. Non Maximum Suppression - part 2.mp4

06:47

8. Draw Bounding Box.mp4

07:46

9. Create YOLO Predictions Module.mp4

11:12

10. Final Object Detection from Image with YOLO.mp4

03:39

11. Real Time Object Detection with YOLO.mp4

04:07

5. BONUS

1. Bonus Lecture.html

Description

Learn to train custom object detection model using Python, OpenCV. Develop web app with Streamlit

What You'll Learn?

Python based YOLO Object Detection using Custom Trained Dataset Models.
YOLO Custom Training
YOLO V5 Object Detection
Train multiple objects
Essential concepts of Streamlit
Develop Web App with Python

Who is this for?

Beginner and Professional who want to develop custom object detection model form scratch.

What You Need to Know?

A decent configuration computer (preferably Windows) and an enthusiasm to dive into the world Image and Object Recognition using Python

Machine Learning Python Knowledge

Basics of OpenCV

More details

Description
Welcome to 'YOLO: Custom Object Detection & Web App in Python'
Object Detection is the most used applications of Computer Vision, where computer/machine can able to locate and classify the object in an image.

In this course we specifically using YOLO (You Only Look Once) and powerful and popular unified object detection model. YOLO uses neural networks to provide real-time object detection. This algorithm is popular because of its speed and accuracy. It has been used in various applications to detect traffic signals, people, parking meters, and animals.

This course is divided into two halves. The first half deals with object detection with custom dataset where we will locate 20 classes of objects. And in second half we will create an web app and give the Graphical User Interphase experience to the use. Not only that we will also deploy our model in Cloud platform.

Now let us see the topics in the course

Introductory theory session about YOLO Object Detection
Here in this section I will explain history ofÂ Object Detection
Object Detection Metrics like IoU (Intersection Over Union), Precision, mean Average Precision (mAP) etc.
Then we will see the mathematical concept behind YOLO
Also I will cover how YOLO improved from each version

After that, we are ready to proceed with preparing our computer for Python coding by downloading and installing the Python package and will check and see if everything is installed fine.
Â 2.Â Data Preparation for YOLO model
Â Â Â Â Â In this section we will put every we learn in to practice. This section is completely hands-on where we will do python code and use pandas dataframes to prepare the data.
Â Â Â Â Â a.Â Â Thumb rules to follow in Collect Data
Â Â Â Â Â b.Â Â Label image forÂ object detection: Here we will use LabelImg tool which is an open source tool to label the label.
Â Â Â Â Â c.Â Â Parse data from XML files and extract information like filename, size, bounding box info like (xmin, xmax, ymin, ymax)
Â Â Â Â Â d.Â Â Process the data from XML in pandas dataframe. And then split the image and save the respective label informationÂ Â Â Â Â Â Â Â Â Â Â Â Â information in train and test.

3.Â Train YOLO v5 Model
4.Â Â Develop Web App in Python

That's all about the topics which are currently included in this quick course. The code, images and weights used in this course has been uploaded and shared in a folder. I will include the link to download them in the last session or the resource section of this course. You are free to use the code in your projects with no questions asked.

Also after completing this course, you will be provided with a course completion certificate which will add value to your portfolio.
Who this course is for:
Beginner and Professional who want to develop custom object detection model form scratch.

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I am Sudheer working in Data Science with a demonstrated history of working in the information technology and services industry. Skilled in Machine Learning, Deep Learning, Statistical algorithms. We mostly worked on Image Processing and Natural Language processing application. I also successfully deployed many data science-related projects in cloud platforms as a service in AWS, Google Cloud, etc.

datascience Anywhere

Instructor's Courses

Hi,We're team of Machine Learning experts, AI developers working together to advance the state of the art in artificial intelligence. You will be hearing from us when new courses are released, answering Q&A and many more.We are here to help you stay on the cutting edge of Data Science and Technology.Thanks, datascience Anywhere Team

Brightshine Learn

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We are more than an educational technology company; we are your dedicated partners in the journey of learning and growth. Our team of brilliant engineers and developers is committed to crafting innovative solutions that empower learners to navigate their educational paths seamlessly. With a passion for excellence, we illuminate the educational landscape, offering a guiding light to learners of all ages. At Brightshine, we understand that completing a course is not just a goal; it's a milestone in your personal and professional journey. Let us be your beacon, providing unwavering support and cutting-edge technology to ensure you not only succeed but shine brightly in your educational endeavors. Join us on this illuminating adventure, where education meets innovation, and together, we'll redefine the future of learning. Brightshine: Light in Learning.

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