You will get Creation of Artificial Datasets for machine learning
Project details
The goal of this project is to create an artificial dataset for the specific use of training a text detector. The delivered dataset will have a specific format, but can be customized upon request.
The dataset will contain two main folders, one containing the images and another containing text files with the necessary labels for each image.
The dataset will contain two main folders, one containing the images and another containing text files with the necessary labels for each image.
Machine Learning Tools
Accord.NET Framework, NumPy, OpenCV, Python, PyTorch, SQL, TensorFlowWhat's included $500
These options are included with the project scope.
$500
- Delivery Time 30 days
- Number of Revisions 2
- Model Documentation
About Yamil
Software Development | Architectural Design, Architecture, C#, Pytorch
La Paz, Bolivia - 12:27 pm local time
In addition to traditional software development, I am deeply involved in the field of Artificial Intelligence (AI). I use PyTorch for training and developing machine learning models, which helps me explore complex data patterns and build predictive solutions tailored to specific challenges. My work in AI goes beyond model development, as I also focus on integrating these models into backend systems using ONNX. This allows me to bridge the gap between AI and production environments, ensuring that models can be deployed efficiently and reliably.
My goal is to continue learning, adapting, and growing.
Thanks for reading this, bye.
Steps for completing your project
After purchasing the project, send requirements so Yamil can start the project.
Delivery time starts when Yamil receives requirements from you.
Yamil works on your project following the steps below.
Revisions may occur after the delivery date.
Initial sample of the dataset
With the data provided by the client, a first sample of 150 images is generated, with their respective labels. If this sample satisfies the technical requirements for training the client's model, the dataset will be generated.
EDA report generation
An EDA will be performed to verify the normal distribution of the dataset and its usefulness. Once the EDA is completed, the report will be delivered.