1. Machine Learning Model Development ✅
- Installing underlying Framework
- Defining the Dataset
- Configuring the Dataset according to YOLO model
- Converting the chosen dataset to YOLO Format
2. Training - YOLO Machine Learning Model with IDD Dataset ✅
- Write custom training config
- Start training the model after defining the class files
- Calculating mAP for our model with IDD Dataset
- Creating weights for our model
3. YOLO Machine Learning Model - Deployment ⏳
- Non-Max Suppression
- Vehicle Detection
- Counting number of vehicles present.
4. Dynamic Signal Switching 🚦
- Average Signal Open/Close Time
- Lane Open/Close Function
- Dynamic to Static at abnormal conditions.