Pricing
from $0.01 / 1,000 results
Analyze Image
Under maintenanceAnalyze images using NVIDIA NIM's Llama 3.2 90B Vision model for detailed visual understanding and description.
Pricing
from $0.01 / 1,000 results
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NVIDIA NIM Image Analyzer
An Apify Actor that analyzes images using NVIDIA NIM's Llama 3.2 90B Vision model for detailed visual understanding and description.
Overview
This Actor leverages NVIDIA's powerful NIM (NVIDIA Inference Microservice) platform to perform sophisticated image analysis. Using the Llama 3.2 90B Vision model, it can analyze images and provide detailed descriptions, technical assessments, creative interpretations, and more.
Features
- Multimodal Analysis: Uses NVIDIA NIM's Llama 3.2 90B Vision model for comprehensive image understanding
- Multiple Analysis Types: Choose from general, detailed, technical, or creative analysis
- Structured Output: Returns detailed analysis with confidence scores, key elements, colors, and sentiment
- Easy Integration: Simple input/output schema for seamless integration with other systems
- Scalable: Built on Apify's serverless platform for reliable, scalable execution
How It Works
The NVIDIA NIM Image Analyzer processes images by sending them to NVIDIA's cloud-based inference service. The service uses the Llama 3.2 90B Vision model to analyze the visual content and generate detailed textual descriptions. Users can specify the type of analysis they want, from general descriptions to technical evaluations.
Input Parameters
| Parameter | Type | Description | Required | Default |
|---|---|---|---|---|
imageUrl | string | URL of the image to analyze (JPEG, PNG, GIF, WebP) | Yes | - |
analysisType | string | Type of analysis: general, detailed, technical, creative | No | general |
Output Format
The Actor returns structured data with the following fields:
| Field | Type | Description |
|---|---|---|
imageUrl | string | URL of the analyzed image |
analysisType | string | Type of analysis performed |
analysisResult | string | Detailed description and analysis of the image |
confidenceScore | number | Confidence level of the analysis (0-1) |
modelUsed | string | NVIDIA NIM model used for analysis |
processingTime | number | Time taken to process the image (seconds) |
timestamp | string | When the analysis was performed (ISO format) |
Usage Examples
Basic Analysis
Detailed Technical Analysis
Analysis Types
General Analysis
Provides a balanced description including main subjects, setting, colors, and composition.
Detailed Analysis
Comprehensive analysis covering objects, people, environment, lighting, colors, textures, and symbols.
Technical Analysis
Technical assessment of image quality, composition, lighting conditions, and potential camera settings.
Creative Analysis
Artistic interpretation focusing on mood, emotions, story, and artistic elements.
Pricing
This Actor uses pay-per-event pricing:
| Event | Price | Description |
|---|---|---|
| Actor Start | $0.00005 | Charged once per run |
| Image Processed | $0.005 | Charged for each image processed |
| Analysis Result | $0.002 | Charged for each analysis result pushed to dataset |
| External API Call | $0.01 | Charged for each external API call to NVIDIA NIM |
Example Costs:
- Processing 100 images: ~$0.75
- Processing 1,000 images: ~$7.50
- Processing 10,000 images: ~$75.00
This pricing model is user-friendly as you only pay for the actual work performed, without any platform usage costs.
Benefits
- High Accuracy: Leverages NVIDIA's state-of-the-art vision model for precise analysis
- Flexible Output: Multiple analysis types to suit different use cases
- Fast Processing: Optimized for quick response times
- Structured Data: Easy-to-use JSON output for integration with other systems
- Cost-Effective: Pay-per-use pricing model with no upfront costs
SEO Keywords
NVIDIA NIM, image analysis, computer vision, Llama 3.2, visual understanding, AI image processing, Apify Actor, automated image description, technical image analysis, creative image interpretation
Support
For technical support or feature requests, please contact the maintainer or open an issue in the project repository.
