FPGA Image Quality Evaluation with ML
Budget: ₹600 – ₹1,500 INR
I'm working on a project that involves evaluating image quality using machine learning on an FPGA.
Key Requirements:
- The primary goal of this project is to achieve highly accurate results in image quality.
- The images I'll be evaluating are mostly photographs.
- I'm looking to implement a Convolutional Neural Network (CNN) model for this project.
Key Skills/Experience needed:
- Proficiency with FPGA development, particularly with VIVADO.
- Strong background in image processing and machine learning.
- Previous experience with implementing CNN models on FPGA for image quality evaluations would be a great plus.
If you're confident in your FPGA skills, have a background in image processing and ML, and have worked with CNN models, I'm eager to hear from you.
Key Requirements:
- The primary goal of this project is to achieve highly accurate results in image quality.
- The images I'll be evaluating are mostly photographs.
- I'm looking to implement a Convolutional Neural Network (CNN) model for this project.
Key Skills/Experience needed:
- Proficiency with FPGA development, particularly with VIVADO.
- Strong background in image processing and machine learning.
- Previous experience with implementing CNN models on FPGA for image quality evaluations would be a great plus.
If you're confident in your FPGA skills, have a background in image processing and ML, and have worked with CNN models, I'm eager to hear from you.