semantic segmentation using CNN models -- 2
Budget: $30 – $250 USD
I am looking for a skilled freelancer to assist me in a project involving semantic segmentation using CNN models. The desired output of the segmentation is binary segmentation, specifically foreground/background classification.
Ideally, the freelancer should have experience with CNN models and be familiar with different architectures such as EfficientNet and ResNet.
I have a specific CNN model in mind for this project, but I am open to suggestions and recommendations from the freelancer.
The project requires expertise in computer vision and deep learning, as well as proficiency in programming languages such as Python and frameworks such as TensorFlow or PyTorch.
The freelancer should be able to train and fine-tune the CNN model on a given dataset, and provide accurate and efficient segmentation results.
The successful completion of this project will require strong problem-solving skills, attention to detail, and the ability to deliver high-quality results within the specified timeframe.
Ideally, the freelancer should have experience with CNN models and be familiar with different architectures such as EfficientNet and ResNet.
I have a specific CNN model in mind for this project, but I am open to suggestions and recommendations from the freelancer.
The project requires expertise in computer vision and deep learning, as well as proficiency in programming languages such as Python and frameworks such as TensorFlow or PyTorch.
The freelancer should be able to train and fine-tune the CNN model on a given dataset, and provide accurate and efficient segmentation results.
The successful completion of this project will require strong problem-solving skills, attention to detail, and the ability to deliver high-quality results within the specified timeframe.