Computer Vision
Neura Vision 2.0
Advanced computer vision model with improved object detection and scene understanding capabilities.
512x512
Input Resolution
2000+
Object Classes
92%
Accuracy
Key Features
-
Advanced Object Detection
-
Scene Understanding
-
Facial Recognition
-
Text Recognition (OCR)
Technical Specifications
Detection Accuracy
92%
Processing Speed
50ms/frame
GPU Acceleration
Supported
Use Cases
Security Systems
Advanced surveillance and facial recognition capabilities.
Industrial Inspection
Quality control and defect detection in manufacturing.
Autonomous Systems
Object detection and tracking for autonomous vehicles.
Getting Started
Start using Neura Vision 2.0 in your applications with our simple API:
response = client.vision(
image_url="https://example.com/image.jpg",
prompt="Describe the objects in the image.",
model="neura-vision-2.0",
temperature=0.7,
tokens=200
)
print(response)