🇻🇳 Semi-Automatic Labeling Demo | Label Studio ML Backend & YOLOv11
Автор: Quân Nguyễn
Загружено: 2025-02-20
Просмотров: 716
Building a High-Quality Traffic Dataset for Vietnamese Intersections – Efficient annotation with AI-assisted labeling!
To streamline dataset creation for vehicle detection, I set up Label Studio as the primary annotation tool. Instead of fully manual labeling, I integrated:
✅ Semi-Automatic Labeling using Label Studio ML Backend with a custom YOLOv11 model (Ultralytics).
✅ Active Learning Pipeline to iteratively fine-tune the model with newly labeled data, improving efficiency and model performance over time.
This workflow significantly reduces annotation effort while enhancing model accuracy. Watch the demo to see it in action!
🔗 Tech Stack: Label Studio, Label Studio ML Backend, YOLOv11, Active Learning, Python
🔗 #AI #YOLOv11 #ActiveLearning #LabelStudio #LabelStudioMLBackend
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