You will get Medical Images classification Annotator


Project details
This desktop application is designed to help you annotate your own dataset with the corresponding labels for image classification tasks.
This new customized version is for image classification tasks. You can put your target labels into the configuration file to adapt the app to your needs. Before starting, put your images into the image folder.
This new customized version is for image classification tasks. You can put your target labels into the configuration file to adapt the app to your needs. Before starting, put your images into the image folder.
Machine Learning Tools
Keras, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlow, TheanoWhat's included
| Service Tiers |
Starter
$5
|
Standard
$10
|
Advanced
$15
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 2 days |
Number of Revisions | 0 | 0 | 0 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Scenario
(+ 2 Days)
+$15About ELAANBA
Machine Learning | NLP | Computer Vision Expert
Rabat, Morocco - 9:12 pm local time
I also have a background as a system engineer with more than 15 years of experience.
Thank you for visiting my profile. I'm waiting to work with you!
Steps for completing your project
After purchasing the project, send requirements so ELAANBA can start the project.
Delivery time starts when ELAANBA receives requirements from you.
ELAANBA works on your project following the steps below.
Revisions may occur after the delivery date.
Labels list
Output file format
