Linux-based Image Recognition in C++
Budget: $250 β $750 USD
I'm looking for a skilled C++ developer, proficient in the development of machine learning programs, particularly Convolutional Neural Networks (CNNs).
Specifics:
- The core functionality of the program should be image recognition. The successful freelancer is expected to create a robust, efficient and accurate CNN system capable of identifying and classifying images.
- The program is expected to run on a Linux operating system, so optimal functionality on Linux is paramount.
- While I'm open to libraries or frameworks that may aid in the development of the program, itβs important to primarily use C++.
Ideal candidate:
- Extensive experience in C++, specifically in machine learning contexts.
- Knowledge of Linux operating systems and the ability to optimize programs for this platform.
- Prior experience in creating CNN programs, particularly for image recognition.
- Familiarity with any additional libraries or frameworks that could be beneficial would be a plus.
- Knowledge of parallalization techniques.
Specifics:
- The core functionality of the program should be image recognition. The successful freelancer is expected to create a robust, efficient and accurate CNN system capable of identifying and classifying images.
- The program is expected to run on a Linux operating system, so optimal functionality on Linux is paramount.
- While I'm open to libraries or frameworks that may aid in the development of the program, itβs important to primarily use C++.
Ideal candidate:
- Extensive experience in C++, specifically in machine learning contexts.
- Knowledge of Linux operating systems and the ability to optimize programs for this platform.
- Prior experience in creating CNN programs, particularly for image recognition.
- Familiarity with any additional libraries or frameworks that could be beneficial would be a plus.
- Knowledge of parallalization techniques.