Make Computer Vision ML models using Python
Starting at
$
70
About this service
Summary
Process
FAQs
Do I need a large dataset for a computer vision project?
The size of the dataset needed for a computer vision project depends on the complexity of the task and the capabilities of the chosen model. While larger datasets can often lead to better performance, it is possible to achieve meaningful results with smaller datasets by employing techniques such as transfer learning or data augmentation.
What things you want from client side?
Explain goal of the Project what is needed to be done and main points of Project. If you have dataset apply that could be discussed too.
What's included
Output of Model
At the end of a computer vision project, clients will get a detailed report explaining how things were done and what was found. They'll also receive a trained model that suits their needs, along with easy-to-understand instructions on how to use it and keep it running smoothly. The project's success will be shown through clear measurements, like graphs or charts. And if they have any questions or problems later on, they can count on ongoing support to help them out.
Duration
5 days
Skills and tools
ML Engineer
AI Model Developer
AI Developer
OpenCV
Python
PyTorch
scikit-learn
TensorFlow