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README.md

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+# YOLO-MT-A-Lightweight-Multi-Task-Learning-Framework-
+
+You can find the inference and training code from bdd100k.ipynb notebook.
+
+- **GitHub:** https://github.com/kursatkomurcu/YOLO-MT-A-Lightweight-Multi-Task-Learning-Framework- 
+
+# 🚗 YOLO-MT: Lightweight Multi-Task Learning for Unified Scene Understanding
+
+YOLO-MT is a **YOLOv12-based lightweight multi-task learning framework** that performs **object detection, lane detection, drivable area segmentation, and scene attribute classification** within a single unified model.  
+It is specifically designed for **real-time autonomous driving and embedded systems** with limited computational resources.
+
+## ✨ Key Features
+- ✅ **4 tasks in a single network**
+  - Object Detection  
+  - Lane Detection  
+  - Drivable Area Segmentation  
+  - Scene Attribute Classification (weather, scene type, time of day)
+- ⚡ **Real-time inference**
+- 📦 **Only 2.9M parameters**
+- 🧠 **Shared YOLOv12 backbone**
+- 🔥 Optimized for **embedded and edge devices**
+- 📊 Trained and evaluated on the **BDD100K dataset**
+
+## 🏗️ Architecture Overview
+- Shared **YOLOv12 encoder**
+- Lightweight **multi-branch decoder**
+- **ASPP-Lite** module for context aggregation
+- Separate task-specific heads for:
+  - Lane segmentation
+  - Drivable area segmentation
+  - Attribute classification
+
+## 🎯 Training Strategy
+1. Train YOLOv12 on **object detection**
+2. **Freeze the backbone**
+3. Jointly train:
+   - Lane detection  
+   - Drivable area segmentation  
+   - Attribute classification  
+
+This two-stage training ensures **strong feature reuse** while keeping the model extremely compact.
+
+## 📁 Dataset
+- **BDD100K**
+  - Object detection annotations
+  - Lane markings
+  - Drivable area masks
+  - Scene attributes (weather, scene type, time of day)
+
+All images are resized to **384×640** for efficient real-time processing.
+
+## 📌 Use Cases
+- Autonomous driving perception
+- Advanced Driver Assistance Systems (ADAS)
+- Embedded AI systems
+- Edge deployment for robotics
+
+---
+
+## Example outputs
+![example](https://github.com/kursatkomurcu/YOLO-MT-A-Lightweight-Multi-Task-Learning-Framework-/blob/main/multitasking_example.png)
+