Computer Vision
Neura Vision 1.0
Our foundational computer vision model, designed for basic image recognition and classification tasks.
224x224
Input Resolution
1000+
Object Classes
85%
Accuracy
Key Features
-
Basic Image Classification
-
Object Detection
-
Lightweight Architecture
-
Real-time Processing
Technical Specifications
Accuracy
85% Top-1
Inference Speed
20ms/image
Mobile Support
Yes
Use Cases
Mobile Applications
Lightweight image recognition for mobile apps.
Retail
Basic product recognition and categorization.
Photo Organization
Automated image tagging and categorization.
Getting Started
Start using Neura Vision 1.0 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-1.0",
temperature=0.7,
tokens=200
)
print(response)