Downloads · 30 days
0
vehicle-detection-yolov8
kushagrahere/vehicle-detection-yolov8
vehicle-detection-yolov8 is a object detection model from kushagrahere. Use it when you need objects located in an image. The card lists the license as mit.
This model detects 8 classes of vehicles: - Auto - Bus - Car - LCV (Light Commercial Vehicle) - Motorcycle - Multiaxle - Tractor - Truck
Access
Public
Updated Aug 5, 2026
Repo size
6.2 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt6.2 MB · 100%
At a glance
- Task
- Object Detection
- License
- mit
- Access
- Public
- Created
- Aug 5, 2026
- Updated
- Aug 5, 2026
- SHA
- beaccbdc
Model card
From the Hugging Face model README
Vehicle Detection Model (YOLOv8)
This model detects 8 classes of vehicles:
- Auto
- Bus
- Car
- LCV (Light Commercial Vehicle)
- Motorcycle
- Multiaxle
- Tractor
- Truck
Model Details
- Architecture: YOLOv8 Nano
- Framework: Ultralytics
- Input Size: 640x640
- Performance: [email protected] > 85%
Usage
from ultralytics import YOLO
# Load model
model = YOLO('best.pt')
# Run inference
results = model('path/to/image.jpg')
Training
Model trained on Google Colab with custom vehicle dataset.
- Task
- Object Detection
- License
- mit
- Created
- Aug 5, 2026
- Updated
- Aug 5, 2026