We are seeking a talented AI solution provider to develop a robust image tag extraction system for integration into our desktop application. The solution must be capable of accurately extracting tags from images (and possibly videos as well) using AI techniques while ensuring optimal performance on CPU to ensure compatibility across all computers. We are not talking about OCR solutions. What we need is a solution able to understand what's inside an image and return the list of objects. For example, given an image of a person on a beach with palms where you can see the sea and birds, it should return "person, beach, palms, sea, birds, sun" possibly each one with an importance value ranging from 0 to 100.
The ideal solution would be to use LLAVA models. We've already tested them but they are very heavy and require to work on a GPU. On a 2014 MacBook Pro it took 3/4 minutes to process just one image, which is unusable. What we are looking for is a solution that can work on CPU with good performance. If you think you can optimize this models to make them work fast on CPU based computers, the job is yours.
Requirements:
AI Expertise: The ideal candidate should possess strong expertise in artificial intelligence and machine learning, particularly in image recognition and tag extraction.
Fast Performance on CPU: The solution must be optimized for CPU performance to ensure compatibility with all desktop computers. It should deliver fast and efficient tag extraction without compromising accuracy.
Accuracy and Reliability: The AI model should demonstrate high accuracy in extracting relevant tags from a variety of images across different categories and contexts.
Integration Compatibility: The solution should be easily integrable into our existing desktop application architecture, which is developed primarily using standard frameworks and technologies.
Deliverables:
Fully Functional AI Model: A well-performing AI model capable of extracting tags from images accurately and efficiently on CPU.
Integration Documentation: Detailed documentation outlining the integration process and usage guidelines for incorporating the solution into our desktop application.
If you possess the necessary skills and experience to develop an AI image tag extraction solution optimized for CPU performance, we encourage you to submit your proposal. Please include relevant examples of your previous work, estimated timeline for completion, and proposed approach/methodology.
We look forward to collaborating with a skilled AI solution provider to enhance our desktop application's functionality and user experience through efficient image tag extraction capabilities.
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