You will get Advanced YOLO Model Training and Conversion for Mobile, Desktop & Web Apps

Moses S.Status: Offline
Moses S.

Let a pro handle the details

Buy Other AI & Machine Learning services from Moses, priced and ready to go.
Moses S.Status: Offline
Moses S.

Let a pro handle the details

Buy Other AI & Machine Learning services from Moses, priced and ready to go.

Project details

🚀 Cutting-Edge YOLO & Computer Vision Solutions

Moses is specialized in delivering state-of-the-art YOLO implementations for high-precision object detection and recognition. My expertise extends beyond detection to include:
🔹 Custom Model Training & Optimization
🔹 Segmentation Excellence
🔹 Seamless Model Conversion and optimized deployment

💻 Cross-Platform Expertise

I provide efficient and accurate conversions of Machine Learning and Deep Learning models for smooth integration on:
✔️ iOS | Android | Windows | Mac | Linux | Raspberry Pi | Jetson Nano

📊 Model Training & Conversion Capabilities

☑️ YOLO Family: YOLOv3, v4, v5, v7, v8, YOLO-NAS, EfficientDet, SSD (.pt, .pth, .h5)
☑️ CoreML Models: (.mlmodel) – Detection, Classification, Action Recognition, Object Tracking
☑️ TensorFlow Models: (.h5, .tflite) – Full conversion and optimization
☑️ Cross-Format Conversions:
🔄 YOLO ➝ CoreML
🔄 YOLO ➝ TFLite
🔄 YOLO ➝ ONNX
🔄 + all advanced custom pipelines

📩 Let’s Collaborate!
Whether you need custom model training, advanced conversion pipelines, or seamless deployment, I’m here to help elevate your computer vision with cutting-edge YOLO projects.

#OrderMeLikeYouDo
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software Maintenance
AI Tools
Amazon SageMaker, Azure Machine Learning, deeplearn.js, Google AutoML, Keras, MLflow, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$95
Standard
$1,195
Advanced
$1,895
Delivery Time 2 days 7 days 14 days
AI Model Integration
Detailed Code Comments
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Knowledge Graph
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Model Documentation
Ontology
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Source Code
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Taxonomy
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Moses S.Status: Offline

About Moses

Moses S.Status: Offline
Sr. AI Engineer | Vision Tech ML YOLO Pytorch TfLight CoreML AWS Azure
Lahore, Pakistan - 12:57 pm local time
Moses is a Senior AI/ML Engineer since 2016 and a Fullstack software engineer!

Experienced in AI/ML algorithms and simulations development and 9 years of experience in Web & Mobile development with Python Django, Javascript frameworks (React, Node, Vue) and Xamarin development. I support mid-level and multi-level individuals/companies and the interesting thing is many startups are successful after working with Moses. If you want to get success lets to get started and ping him to discuss things in detail.

Well in this decade of 2020 world is going automated as Artificial Intelligence and Machine Learning taking place but behind any automation, there is a human brain the creative one who trained the machine for desired execution and you're at that place.

“THE ROBOTS OF THE CARTOONS AND MOVIES FROM THE 1970s ARE GOING TO BE THE REALITY OF THE 2020s.”

Services offered:

- Algorithm Development (Logic building)
- Webapp Development
- Mobile Development
- Software Development
- Web development
- MVP Development
- Image Processing
- Neural Networks
- Natural Language Processing
- Deep Learning
- Speech & Face recognition
- Statistical Algorithms
- Time-series Analysis
- Python/Matlab/R-languages

Feel FREE to ask any query I'm always here to respond you on time so you can get benefits of my 9 years of research & developments in the Automation industry and includes huge experience in Medical & Sports automation.

#OrderMeLikeYouDo

Steps for completing your project

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

Delivery time starts when Moses receives requirements from you.

Moses works on your project following the steps below.

Revisions may occur after the delivery date.

Delivery time starts once Moses receives requirements from you.

Please share details regarding Model development, including composition of dataset (images.videos), target classes to be detected, and any precise annotation or labeling guidelines. This information will enable accurate training and model conversion.

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