TMS2 - YOLO Traffic Management Models
YOLOv8 Vehicle Detection Models
Fine-tuned YOLOv8 models for traffic scene understanding.
Detection Classes:
- Vehicles (cars, trucks, buses, motorcycles)
- Pedestrians
- Traffic signs
- Emergency vehicles
Performance:
- Real-time detection at 30+ FPS
- Optimized for traffic camera footage
Model Description
These models are part of the Traffic Management System 2 (TMS2) project, an intelligent traffic control system using deep learning and reinforcement learning.
Training Details
- Framework: PyTorch
- Training Platform: Google Colab (T4 GPU)
- Training Date: December 2025
Usage
import torch
# Load model
model = torch.load('model.pt')
model.eval()
# Inference
with torch.no_grad():
output = model(input_tensor)
License
Apache 2.0