I will develop ai models with yolo for object detection and image recognition
Embedded System Engineer and Computer Enthusiast
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
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.

