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I will develop ai models with yolo for object detection and image recognition
Embedded System Engineer and Computer Enthusiast
I am an impassioned Embedded System Engineer and Computer Enthusiast who has the ability to transform your ideas into a working product.
I have 5 years of industrial experience in electronics circui...
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Unlock the full potential of AI with custom deep learning solutions built using PyTorch and YOLO.
I specialize in creating powerful, real-time object detection models using YOLOv5/YOLOv8/YOLOv11, optimized for performance and accuracy. From data to deployment, I cover the complete pipeline with seamless integration of Roboflow for dataset collection and preprocessing, and Google Colab for efficient GPU-accelerated training.
What I Offer:
- Custom YOLO model development using PyTorch
- Roboflow support: dataset upload, annotation, and preprocessing
- ️ Google Colab setup for GPU-based training, with TensorBoard logging and optimization
- Training, validation, and model evaluation (mAP, precision, recall, confusion matrix)
- Fine-tuning using pre-trained YOLO models for faster, more accurate results
- Model export to ONNX, TorchScript, TensorRT for smooth deployment
- Real-time testing, visualizations, and performance analysis
Whether you're building an AI startup, a research prototype, or a portfolio project I'm here to turn your vision into a functional, optimized deep learning solution.
Lets build something incredible with YOLO, PyTorch, Roboflow, and Google Colab!
Programming Language:
Python
•
Pytorch
•
Tensorflow
AI Model Frameworks & Tools:
TensorFlow
•
PyTorch
•
Google Colab
Data Type:
Text
•
Images
•
Audio
FAQ
1. What types of projects do you work on?
I specialize in deep learning projects, including object detection with YOLO, image and audio processing, and custom neural network development using PyTorch.
2. Do you provide dataset collection and preparation?
Yes, I can assist with gathering datasets and preparing them for training, including data cleaning and augmentation to enhance model performance.
3. Will you provide model performance metrics?
Absolutely! I provide detailed performance reports, including accuracy, loss, F1 score, and confusion matrices to help you understand the model's effectiveness.
4. Can you deploy the model after training?
Yes, I offer deployment assistance to ensure your model is integrated smoothly into your application, whether it’s for web or mobile use.
5. What if I need revisions after the project is completed?
Each package includes a specific number of revisions. If you need additional changes, we can discuss further adjustments based on your requirements.
6. Are you familiar with Google Colab?
Yes, I utilize Google Colab for GPU training, which allows for efficient model training and testing, ensuring faster results.
7. Can you work with pre-trained models?
Yes, I can leverage pre-trained models to speed up the development process and improve performance on your specific tasks.
8. How do you ensure the quality of the model?
I implement thorough validation processes and use TensorBoard for real-time visualization of training metrics, ensuring the model meets high-quality standards.
