Michele isn't taking new orders for this project right now. Here are some similar projects to explore.
You will get a fine-tuned computer-vision classification model ready to be deployed
Top Rated
You will get a fine-tuned computer-vision classification model ready to be deployed
Top Rated
Project details
šš«š¢š§š š²šØš®š« ššššš¬šš šš§š š šš š šš®š¬ššØš¦, š”š¢š š”š„š²-šØš©šš¢š¦š¢š³šš, šš„šš¬š¬š¢šš¢šššš¢šØš§ š¦šØššš„ ššØš« š²šØš®š« ššØš¦š©š®ššš«-šÆš¢š¬š¢šØš§ šš©š© š¢š§ šš¬ š„š¢ššš„š šš¬ š ššš²š¬.
With our proprietary system you get a model trained by the latest research in deep-learning architectures and machine-learning training procedures. The models we provide are ready for deployment, and come with code and documentation to easily run predictions on a mobile device or a cloud service.
What you'll get:
ā¦ A state-of-the-art classification model that can be imported in 3 different frameworks: PyTorch, TensorFlow and ONNX
ā¦ Example code and documentation explaining how to load and run inference on the model in each of the aforementioned frameworks
ā¦ A detailed report obtained on an out-of-sample test set that shows how the model is performing
Optionally, you can have:
ā¦ A highly-optimized model to run blazing-fast predictions in the cloud (or on processors without a floating-point unit) and up to 40x smaller than the size of a standard neural network. (Available with the "Model Optimization" add-on.)
With our proprietary system you get a model trained by the latest research in deep-learning architectures and machine-learning training procedures. The models we provide are ready for deployment, and come with code and documentation to easily run predictions on a mobile device or a cloud service.
What you'll get:
ā¦ A state-of-the-art classification model that can be imported in 3 different frameworks: PyTorch, TensorFlow and ONNX
ā¦ Example code and documentation explaining how to load and run inference on the model in each of the aforementioned frameworks
ā¦ A detailed report obtained on an out-of-sample test set that shows how the model is performing
Optionally, you can have:
ā¦ A highly-optimized model to run blazing-fast predictions in the cloud (or on processors without a floating-point unit) and up to 40x smaller than the size of a standard neural network. (Available with the "Model Optimization" add-on.)
What's included $1,400
These options are included with the project scope.
$1,400
- Delivery Time 7 days
- Number of Revisions 1
- Number of Model Variations 3
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Fast 3 Days Delivery
+$700
Additional Revision
+$400
Model Optimization
(+ 1 Day)
+$200
Data Cleaning
(+ 1 Day)
+$400
Data Formatting
+$100Frequently asked questions
4 reviews
(4)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
CH
Carl H.
May 15, 2023
Document Classification and Extraction
Michele provides great high quality work! Forward thinker.
SB
Sam B.
Oct 5, 2022
Machine Learning Engineer for ML Marketplace Prototype
SP
Stephane P.
Jan 18, 2021
Machine Learning / Vision AI Engineer in an advisory role
Very knowledgeable in the ML/AI field and provided some very valuable feedback for our project.
SE
Sam E.
Dec 21, 2015
Audio Storage, Recognition, and Machine Learning
About Michele
Computer Vision and Machine Learning Engineer
100%
Job Success
Medellin, ColombiaĀ - 6:13 am local time
Here is a non-exhaustive list of services I provide:
ā š š®š°šµš¶š»š² šš²š®šæš»š¶š»š“ and šš²š²š½ šš²š®šæš»š¶š»š“: Over ten years of expertise in machine learning using deep learning frameworks (PyTorch and Tensorflow), Bayesian Models (PyMC), and Gaussian Processes.āØ
ā šš¼šŗš½ššš²šæ š©š¶šš¶š¼š»: A decade of experience covering image segmentation, object detection, image classification, pose estimation, generative models, model optimization (edge AI), and many more.āØ
ā š¢š½š²š»šš©: 10+ years of hands-on experience covering camera calibration, image alignment, optical flow estimation, etc.
ā šš¹š¼šš± šš¼šŗš½ššš¶š»š“ and šš¶š“ šš®šš®: Proficiency with AWS services (S3, ECC, ECS, Sagemaker, API Gateway) and Google Cloud Computing for machine learning; experience with big data technologies like Hadoop, Apache Spark, and Horovod.
ā šš²šš¢š½š, šš/š, and š©š²šæšš¶š¼š» šš¼š»ššæš¼š¹: Strong knowledge of MLOps practices, CI/CD pipelines, and version control systems like Git.āØ
ā š£šæš¼š·š²š°š š š®š»š®š“š²šŗš²š»š: Experience in overseeing and managing the implementation of complex machine learning projects, and experience with agile methodologies.
For any other requirements your organization would like to explore or questions, send me a messageāI'm eager to explore how I can contribute to your organization's success and objectives.
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.
Data Analysis
After you send us the link to your dataset as specified in the requirements, we'll analyze the data and get back to you within 12 hours.
Data Cleaning and Formatting
If you chose to add the "Data Cleaning" or "Data Formatting" add-on, we structure the dataset in a format that is compatible with our system, and remove all the samples that would introduce noise into the model.