You will get a working Image Classifier

Michele D.Status: Offline
Michele D.

Let a pro handle the details

Buy Machine Learning services from Michele, priced and ready to go.
Michele D.Status: Offline
Michele D.

Let a pro handle the details

Buy Machine Learning services from Michele, priced and ready to go.

Project details

With our solution, you can easily classify images and videos with a high degree of accuracy, even in complex and challenging environments. Whether you're in healthcare, retail, or any other industry that relies on image analysis, this solution can help you streamline your processes and gain insights from your data. Plus, with the "model interpretability" option you can crystal clearly understand why the model makes such predictions.
Machine Learning Tools
NumPy, Python, PyTorch

What's included $1,500

These options are included with the project scope.

$1,500
  • Delivery Time 30 days
  • Number of Revisions 4
  • Number of Model Variations 1
  • Number of Scenarios 4
  • Number of Graphs/Charts 1
    • Model Validation/Testing
    • Model Documentation
    • Data Source Connectivity
    • Source Code
Optional add-ons You can add these on the next page.
Model interpretability (+ 7 Days)
+$500
Michele D.Status: Offline

About Michele

Michele D.Status: Offline
AI & Machine Learning | C++, Deep Neural Network, Deep Learning
Agliana, Italy - 7:32 pm local time
Experienced Machine Learning Engineer, Data analyst, and teacher. If you need consulting to develop a Machine Learning model, understand a dataset, develop a Deep Learning model for image or text, or write a python script - I'm your guy!

Steps for completing your project

After purchasing the project, send requirements so Michele can start the project.

Delivery time starts when Michele receives requirements from you.

Michele works on your project following the steps below.

Revisions may occur after the delivery date.

EDA and Data Preprocessing

The first step in building an image classification system is to understand and prepare the data. This typically involves correctly labeling the images and then split into training, validation, and testing sets.

Model Development

A deep learning model is developed using a neural network architecture such as Convolutional Neural Networks (CNNs). The model is trained on the labeled training data and adjusted over time to improve its accuracy.

Review the work, release payment, and leave feedback to Michele.