Computer Vision SolutionsMatthew McAteer
I offer expertise in developing computer vision solutions using machine learning algorithms and deep learning models. I can help clients with tasks such as image recognition, object detection, and image segmentation.
What's included
Code for AI model and Workflow
If the work requires a machine learning model, whether custom-trained or downloaded from HuggingFace, I'll include all the code for training and/or retrieving the model.
Performance Benchmarking Results
This is the numerical indicators of how well the ML pipeline performs, either on your data, a dataset that resembles your data, or an academic benchmark. If the latter, this will also include how other competing open and closed-source tools may perform on the same benchmark.
Deployment Instructions
This will include the instructions for deploying the AI model or workflow to a web app or mobile app or a cloud service (AWS, GCP, Azure, Lambda, etc.)
The repository containing the other deliverables
All the results described above will be delivered in your choice of a GitHub Repo, a GitLab repo, a BitBucket Repo, or a password-protected compressed archive.
Matthew's other services
Contact for pricing
Tags
AWS
C++
ChatGPT
Python
TypeScript
AI Developer
Data Scientist
ML Engineer
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Matthew McAteer San Francisco, USA
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Computer Vision SolutionsMatthew McAteer
Contact for pricing
Tags
AWS
C++
ChatGPT
Python
TypeScript
AI Developer
Data Scientist
ML Engineer
I offer expertise in developing computer vision solutions using machine learning algorithms and deep learning models. I can help clients with tasks such as image recognition, object detection, and image segmentation.
What's included
Code for AI model and Workflow
If the work requires a machine learning model, whether custom-trained or downloaded from HuggingFace, I'll include all the code for training and/or retrieving the model.
Performance Benchmarking Results
This is the numerical indicators of how well the ML pipeline performs, either on your data, a dataset that resembles your data, or an academic benchmark. If the latter, this will also include how other competing open and closed-source tools may perform on the same benchmark.
Deployment Instructions
This will include the instructions for deploying the AI model or workflow to a web app or mobile app or a cloud service (AWS, GCP, Azure, Lambda, etc.)
The repository containing the other deliverables
All the results described above will be delivered in your choice of a GitHub Repo, a GitLab repo, a BitBucket Repo, or a password-protected compressed archive.
Matthew's other services
Contact for pricing