You will get complete image data processing pipeline (ETL, image augmentation, etc.)
Project details
This project aims to create a complete image data processing pipeline, starting from downloading images by API , augmenting them, splitting them into training, validation, and test datasets. (depending on the type selected)
This is an example of an effective approach to processing large image data sets in a production environment. The data is ready to be used in a computer vision model.
The data pipeline collected 12 thousand photos, which after augmentation gave 20,000 photos (2 thousand for each class); (increase the number of photos=more computing power)
This is an example of an effective approach to processing large image data sets in a production environment. The data is ready to be used in a computer vision model.
The data pipeline collected 12 thousand photos, which after augmentation gave 20,000 photos (2 thousand for each class); (increase the number of photos=more computing power)
Machine Learning Tools
Keras, Python, SciPy, TensorFlowWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 9 days |
Number of Revisions | 0 | 1 | 3 |
Number of Model Variations | 0 | 0 | 2 |
Number of Scenarios | 0 | 0 | 0 |
Number of Graphs/Charts | 0 | 1 | 2 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $300
Additional Revision
+$100
Model Validation/Testing
(+ 2 Days)
+$500
Model Documentation
(+ 3 Days)
+$500
Data Source Connectivity
(+ 3 Days)
+$500Frequently asked questions
About Alexander
Machine Learning | C++ Development | Python | CUDA | Qt
Katowice, Poland - 11:28 am local time
I have experience in creating complete data pipelines - from web scraping through data augmentation and validation, to training various models and integrating with analytical systems and databases..
Steps for completing your project
After purchasing the project, send requirements so Alexander can start the project.
Delivery time starts when Alexander receives requirements from you.
Alexander works on your project following the steps below.
Revisions may occur after the delivery date.
Recive dependecies from client
For example verification key from google cloud platform (to store data in cloud)