JTheta.ai + Ultralytics Hub Tutorial: From Dataset to YOLO Training скачать в хорошем качестве

JTheta.ai + Ultralytics Hub Tutorial: From Dataset to YOLO Training

In this step-by-step tutorial, learn how to create a object detection dataset using JTheta.ai, and train a YOLO model using Ultralytics Hub. We walk through the full workflow: ✅ Dataset creation & annotation in JTheta.ai ✅ Uploading to Ultralytics Hub ✅ Choosing YOLO ✅ Training on your local server ✅ Running inference & viewing results 📚 Chapters 00:00 Intro 01:04 Free Sign-in and Create Workspace in JTheta.ai 01:49 Create Project in JTheta.ai 02:19 Upload images to create Dataset in JTheta.ai 02:46 Create classes to annotate 03:49 Review images in Dataset Viewer 04:22 Annotate and Explore Classes 06:41 Review Annotations in Dataset Viewer 07:32 Download Dataset ZIP 09:05 Upload to Ultralytics Hub 09:51 Select YOLO Model 10:00 Run Training Script 10:38 Monitor Training Progress 11:05 View Training Metrics (mAP, Precision, Recall) 11:13 Run Inference using Python 11:34 View JSON Output 12:06 Outro 🔗 Try JTheta.ai: https://www.jtheta.ai 🔗 Ultralytics Hub: https://hub.ultralytics.com 👉 Don’t forget to Like, Subscribe, and Comment if this helped you! #YOLOv8 #ComputerVision #JThetaAI #Ultralytics #ObjectDetection #MachineLearning #AI #JTheta #DatasetAnnotation #DeepLearning #MLWorkflow #JTheta.AI