designing a new CNN architecture for 3D object recognition

Job ID: 36856269

Budget: $250 – $750 CAD

I'm looking for a freelancer to design a new CNN architecture for 3D object recognition, with moderate accuracy of 70-90%. I have a specific set of 3D objects for testing and training. The timeline for the project should be 1-3 months. The end goal is to create an AI system that can recognize 3D objects accurately in a short time frame.

The AI system should be able to distinguish between multiple 3D objects, even if they are different sizes or similar in appearance. If done properly, this CNN architecture should be able to correctly identify 3D objects in a reliable manner. The desired accuracy rate should be at least 70%-90%.

In terms of timeline, I'm looking for the project to be completed within 1-3 months. During the timeline, I would expect the freelancer to provide updates regularly as to the progress of the project and any modifications needed. Once ready, I'll review the results of the project to ensure accuracy and effectiveness.

If you think you're up to the task of creating an AI system for 3D object recognition with high accuracy at a reasonable timeline, I'd love to hear from you. Please get in touch if you have any questions.
Related categories: Python Machine Learning (ML) Deep Learning