Train YOLO11 for Crack Segmentation: Custom Dataset Full Tutorial

In this tutorial, I show you how to train and fine-tune a YOLOv11 model on a custom dataset from scratch for crack and defect segmentation.

This video is perfect for beginners who want to learn computer vision and custom training with YOLO.

Summary Of The Steps:
Step 1) Obtain the Data
Step 2) Data Preperation (YAML FORMAT)
Step 3) Train a YOLO Model
Step 4) Review the results

Used Dataset Link: https://www.kaggle.com/datasets/lakshaymiddha/crack-segmentation-dataset?resource=download
Model Link: https://docs.ultralytics.com/de/models/yolo11/#performance-metrics
💻 GitHub repository with code & dataset instructions: https://github.com/Nourghazal1998/Yolov11-Crack-Segmentation.git

Time Stamps:
00:00 Intro
01:00 What is YOLO?
06:25 Downloading & Preparing the Dataset
20:13 Verifying TXT Files
23:32 Splitting Dataset + YAML Setup
29:26 Training the Model
40:43 Reviewing Results
50:35 Testing with 0.6 Confidence
54:05 Alternative Model Results
55:57 Testing with 0.1 Confidence

Feel free to contact me regarding work or questions.

#yolov11 #yolo #segmentation #computervision #computervisionengineer #computervisiontutorial

Видео Train YOLO11 for Crack Segmentation: Custom Dataset Full Tutorial канала EngiNour