You will get a Fully Trained Computer Vision Model for Classification or Segmentation
You will get a Fully Trained Computer Vision Model for Classification or Segmentation
Quick Computer Vision Model
Given a labeled dataset from you, I will create a pre-trained model for you
- Delivery Time 12 days
- Number of Revisions 1
- Model Validation/Testing
- Source Code
12 days
delivery —
Oct 27, 2024
Revisions may occur after this date.
Upwork Payment Protection
Fund the project upfront. Alistair gets paid once you are satisfied with the work.
Project details
I will work with you to create a computer vision model (using PyTorch) that I will train to a high accuracy. This model will be simple for you to implement and solve any vision task you are struggling with. It could be a simple classification task (e.g. Is there a human in this image?) or a more complex segmentation task (e.g. Which pixels in this image are part of a road?). I am also open to other projects surrounding computer vision so please get in touch with any questions.
Machine Learning Tools
NumPy, OpenCV, Python, PyTorch, TensorFlowWhat's included
Service Tiers |
Starter
$190
|
Standard
$250
|
Advanced
$400
|
---|---|---|---|
Delivery Time | 12 days | 12 days | 12 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$15
Model Documentation
(+ 1 Day)
+$25About Alistair
Python, AI & Machine Learning, Computer Vision
Stockport, United Kingdom - 8:25 pm local time
Skills:
- Python
- PyTorch/TensorFlow
- Computer vision
- NLP
- SQL
Steps for completing your project
After purchasing the project, send requirements so Alistair can start the project.
Delivery time starts when Alistair receives requirements from you.
Alistair works on your project following the steps below.
Revisions may occur after the delivery date.
Setup environment for the model, choosing appropriate hyperparameters
Train model to an appropriate level of accuracy