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tms-yolov8-detection
Kunalsinghh/tms-yolov8-detection
tms-yolov8-detection is a reinforcement learning model from Kunalsinghh. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Fine-tuned YOLOv8 models for traffic scene understanding.
Access
Public
Updated Dec 24, 2025
Repo size
18.5 MB
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0
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Repo makeup
Click a slice to open those files.
.pt31.2 MB · 83%
At a glance
- Task
- Reinforcement Learning
- License
- apache-2.0
- Access
- Public
- Created
- Dec 24, 2025
- Updated
- Dec 24, 2025
- SHA
- 0485c427
Model card
From the Hugging Face model README
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
- Task
- Reinforcement Learning
- License
- apache-2.0
- Created
- Dec 24, 2025
- Updated
- Dec 24, 2025