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

Описание: 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

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