📖 ✔ Chapters: 00:05 - 🎥 Introduction 00:09 - 🏁 Goal to achieve? 01:24 - 📋 Prerequisites of object detection? 01:43 - 🧐 What is classification? 02:07 - 📍 What is object localization? 02:30 - 🔍 What is object detection? 03:14 - 💻 Project Setup (+ Enable GPU) 04:52 - 📦 How to install YOLOv8/Ultralytics? 07:42 - 📂 How to download the Road Signs Dataset 16:07 - 📜 YOLOv8 Training Code explained in Depth 28:23 - 🛠 Train YOLOv8 on Custom Dataset 30:07 - 💡 Discussion on Results Post YOLOv8 Training 38:02 - 🎥 Test YOLOv8 on Input Sample Video/Image 50:13 - ✅ Output of the model (for Sample Videos/Images) 51:26 - ⚡ Helpful Hacks and Tips: Fast Project Building 55:49 - 📢 Important Message?
Great video sir. Please i request on the behalf of all students to please give us some knowledgeable projects sooner. Which we can have in our university mini project as well. Sir u make us understand concepts very easily. Expecting more such content in upcoming days. And sir please let us know when u will upload the content. Thanku sir
Thanks for your feedback. I really appreciate that. I understand the scenario. Some projects are under processing, but it seems, it will take some time.
Completed😊. sir can we present this project as our mini project for evalauation if yes then please give idea which type of question can be asked from this project.
Great job on completing the project! Yes, why not! YOLOv8 is an advanced object detection algorithm, particularly suited for real-time applications. If this project meets your university’s requirements, feel free to proceed. Since you're training YOLOv8 on a custom dataset, it should be fine. However, avoid simply copying the work-ensure you understand every step. I've covered most key aspects, but for a deeper grasp, focus on data preprocessing, custom model training, and evaluation metrics (Result Analysis Part).
Yes, YOLO can be used for real-time video detection, though the process differs slightly. Future tutorials in this project creation series will address this aspect as well.
Great job on completing the project! 🎉 More exciting projects are coming soon to help boost your image processing and computer vision skills. Stay tuned! Hoping this lecture helped you develop new skills.
Please check out the final section of the project (Tips and Hacks), where I discuss the workaround for this issue. If students encounter issues with this, then I’ll create a separate video with a live demonstration on how to prevent data loss after a session timeout on Google Colab.
📖 ✔ Chapters:
00:05 - 🎥 Introduction
00:09 - 🏁 Goal to achieve?
01:24 - 📋 Prerequisites of object detection?
01:43 - 🧐 What is classification?
02:07 - 📍 What is object localization?
02:30 - 🔍 What is object detection?
03:14 - 💻 Project Setup (+ Enable GPU)
04:52 - 📦 How to install YOLOv8/Ultralytics?
07:42 - 📂 How to download the Road Signs Dataset
16:07 - 📜 YOLOv8 Training Code explained in Depth
28:23 - 🛠 Train YOLOv8 on Custom Dataset
30:07 - 💡 Discussion on Results Post YOLOv8 Training
38:02 - 🎥 Test YOLOv8 on Input Sample Video/Image
50:13 - ✅ Output of the model (for Sample Videos/Images)
51:26 - ⚡ Helpful Hacks and Tips: Fast Project Building
55:49 - 📢 Important Message?
Project completed 15 January 2025 . Looking forward for more projects. Thanks for the valuable content.
Great job completing it! I'm working on more projects like this. @kartiksharma6669
Project completed 13 jan 25
Thank you sir ❤
Great! keep learning!
Great video sir Plss continue with the series
Thanks for your feedback! I'm working on more such Project Tutorials in this series.
Great video sir. Please i request on the behalf of all students to please give us some knowledgeable projects sooner. Which we can have in our university mini project as well. Sir u make us understand concepts very easily. Expecting more such content in upcoming days. And sir please let us know when u will upload the content. Thanku sir
Thanks for your feedback. I really appreciate that. I understand the scenario. Some projects are under processing, but it seems, it will take some time.
Completed😊. sir can we present this project as our mini project for evalauation if yes then please give idea which type of question can be asked from this project.
Great job on completing the project! Yes, why not! YOLOv8 is an advanced object detection algorithm, particularly suited for real-time applications. If this project meets your university’s requirements, feel free to proceed. Since you're training YOLOv8 on a custom dataset, it should be fine. However, avoid simply copying the work-ensure you understand every step. I've covered most key aspects, but for a deeper grasp, focus on data preprocessing, custom model training, and evaluation metrics (Result Analysis Part).
@@akashchauhansir thankyou so much sir. really this video help me a lot to continously upgrade my skill ..💜💜
I'm happy to hear that it helped you grow your skills!
Can we make it real time also
Yes, YOLO can be used for real-time video detection, though the process differs slightly. Future tutorials in this project creation series will address this aspect as well.
@akashchauhansir thanks for fast response sir 🙏
Project completed 13 Jan 25
Great. Hoping it was helpful!
Project completed: 07/01/25
Great job on completing the project! 🎉 More exciting projects are coming soon to help boost your image processing and computer vision skills. Stay tuned! Hoping this lecture helped you develop new skills.
not working during the training part
Kindly recheck if Ultralytics is properly installed or integrated in google colab or not!
Sir permanently kese rakhna hai iss project ko. Bina data loss ke
Please check out the final section of the project (Tips and Hacks), where I discuss the workaround for this issue. If students encounter issues with this, then I’ll create a separate video with a live demonstration on how to prevent data loss after a session timeout on Google Colab.
@@akashchauhansir thanks