YOLOV8: Train a Custom YOLOv8 Object Detector

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YOLOv8 Object Detector Custom Training: YOLOV8 is the latest induction to the YOLO family that Ultralytics has released. Not only can YOLOV8 detect the objects in an image, it can also segment and classify the objects.
YOLOv8 Object Detector - This video will teach how to train a Custom YOLOv8 Object Detector.
We have covered the following topics:
✅What's new in YOLOv8?
✅Models Available in YOLOv8
✅Features Provided by YOLOv8
✅Custom Object Detection Training using YOLOv8
✅Approach for Custom Training
✅The Custom Training Code
✅Preparing the Pothole Detection Dataset
✅Training the Nano Model (yolov8n)
What’s New in YOLOv8?
Ultralytics have released a completely new repository for YOLO Models. It is built as a unified framework for training Object Detection, Instance Segmentation, and Image Classification models.
Here are some key features about the new release:
✅User-friendly API (Command Line + Python).
✅Faster and More Accurate.
✅Supports Object Detection, Instance Segmentation, Image Classification.
✅Extensible to all previous versions.
✅New Backbone network.
✅New Anchor-Free head.
✅New Loss Function.
✅YOLOv8 is also highly efficient and flexible supporting numerous export formats and the model can run on CPUs & GPUs.
⭐️ Time Stamps:⭐️
00:00-00:15: Introduction
00:15-01:03: YOLOv8 Models
01:03-01:29: References
01:29-01:54: Train & Valid
01:54-02:23: Fine-tuning
02:23-02:40: Importing Libraries
02:40-03:26: Downloading Datasets
03:26-04:47: Visualizing Images
04:47-05:13: Dataset Yaml File
05:13-08:10: CLI Method
08:10-08:20: SGD optimizer
08:20-08:37: Warnings
08:37-10:00: Metrics
10:00-10:31: Evaluation
10:31-11:00: Inference
11:00-11:15: Visualize
11:15-11:37: Outro
Resources:
🎵 YOLO Master Class Playlist:
• YOLO Master Class: Mas...
☢️ GitHub Code Link
github.com/spm...
🖥️ On our blog - learnopencv.com we also share tutorials and code on topics like Image
Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.
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[@LearnOpenCV]

Check out our FREE Courses at OpenCV University : opencv.org/university/free-courses/

[@mootal2812]

Great teaching! Appreciate but would prefer no background music as it serves no purpose, it is harder to listen. Wish you would understand this. Thank you!

[@user-kq9yj5ug6v]

in some of your jupyter notebook saw the code from clearml import Task from ultralytics import YOLO # Step 1: Creating a ClearML Task task = Task.init(project_name="my_project", task_name="my_yolov8_task") # Step 2: Selecting the YOLOv8 Model model_variant = "yolov8n" task.set_parameter("model_variant", model_variant) # Step 3: Loading the YOLOv8 Model model = YOLO(f"{model_variant}.pt"), tell me where this file I want to continue to perform steps on tutorial

[@LearnOpenCV]

Hi, which files are you referring to?

[@user-kq9yj5ug6v]

@@LearnOpenCV there was a phased implementation described in the article

[@user-kq9yj5ug6v]

@@LearnOpenCV there was a consistent description of what was described in the tutorial learnopencv.com/train-yolov8-on-custom-dataset/#results

[@kosttavmalhotra5899]

In ML there is usuallya train test split ,,,, is there split in Yolov8 also means how the model evaluate its performance becuse mode =val is a completly new function, and if validation set is used in training than what is the use of mode= val

[@LearnOpenCV]

During training, the validation set is used to evaluate the model. The data is not used for training.

[@sherellekana5628]

Thank you for the video, please I want to know wich preprocessing should I applied to my images before train yolov8 on it?

[@LearnOpenCV]

We're glad you liked it. You don't need to apply a special preprocessing before training using the ultralytics library. Check the documentation for more info: docs.ultralytics.com/

[@hans-9]

Using an Apple M1 laptop and when I run the training, the Epochs display GPU_mem as 0G. In your video, the value is above 0. Is this okay?

[@LearnOpenCV]

Hi. The training shown in the video is on the NVIDIA GPU and not on the Apple M1. Setting up PyTorch for Apple M1 follows somewhat different commands. You can get the most help for setting up PyTorch from the official installation page. pytorch.org/get-started/locally/

[@hans-9]

@@LearnOpenCV I've followed some instructions on the page without success. Thank you for your response anyway.

[@nishi78496]

😊😊🎉😊

[@deeplearning7097]

Thank you very much, this was very informative.

[@LearnOpenCV]

Glad it was helpful!

[@abdullahadesope4886]

How did you get your notebook to be in python 3.9, mine has updated to 3.10 as of last week but I need 3.9. How do I downgrade

[@LearnOpenCV]

Hi, you can change the python version by installing it on the system. Checkout this stackoverflow answer for more details, and change the instructions according to your requirement. stackoverflow.com/a/68530310

[@sarahnawoya498]

Can i create object masks with Yolov8?

[@LearnOpenCV]

Yes! You can segment objects using the YOLOv8 model. We're going to release a tutorial on it soon. :D

[@236_sayakhatui5]

it is telling invaliod dataset

[@salmabif]

Kindly guide me how can we count objects in images dataset by yolo8?

[@abdulahad2751]

Atif.