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smart-traffic-vision-yolov8
emreyoleridev/smart-traffic-vision-yolov8
smart-traffic-vision-yolov8 is a object detection model from emreyoleridev. Use it when you need objects located in an image. The card lists the license as mit.
This model is a YOLOv8 object detection model fine-tuned for smart traffic vision applications. It detects vehicles, pedestrians, and traffic signs in street and traffic images.
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Public
Updated Jun 30, 2026
Repo size
22.5 MB
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Repo makeup
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.pt22.5 MB · 100%
At a glance
- Task
- Object Detection
- License
- mit
- Access
- Public
- Created
- Jun 30, 2026
- Updated
- Jun 30, 2026
- SHA
- 24f265e5
Model card
From the Hugging Face model README
Smart Traffic Vision YOLOv8
This model is a YOLOv8 object detection model fine-tuned for smart traffic vision applications. It detects vehicles, pedestrians, and traffic signs in street and traffic images.
Model Details
- Model Type: YOLOv8
- Task: Object Detection
- Domain: Traffic and Street Scenes
Intended Use
This model is intended to be used in conjunction with the Smart Traffic Vision Hugging Face Space.
Usage in Python
from ultralytics import YOLO
from huggingface_hub import hf_hub_download
model_path = hf_hub_download(repo_id="emreyoleridev/smart-traffic-vision-yolov8", filename="best.pt")
model = YOLO(model_path)
results = model("path/to/image.jpg")
- Task
- Object Detection
- License
- mit
- Languages
- en
- Created
- Jun 30, 2026
- Updated
- Jun 30, 2026