I will build a custom yolo model for object detection and computer vision


About this gig
Are you looking for a custom object detection or computer
vision solution for your business or project?
I will build a custom YOLO model trained on YOUR dataset
to detect, classify, and track objects in real-time using
state-of-the-art deep learning techniques.
WHAT I OFFER:
- Custom YOLO (v5/v8) model training on your dataset
- Object detection, classification and tracking
- Real-time video and image detection
- Model integration with Python, FastAPI or Flask
- OpenCV-based computer vision pipelines
- Deployment-ready solution with clean code
- Full testing and performance evaluation report
PERFECT FOR:
- Security and surveillance systems
- Medical image analysis
- Retail and inventory management
- Industrial quality control
- Academic and research projects
WHY CHOOSE ME:
- Deep expertise in PyTorch, TensorFlow and OpenCV
- Clean, documented, production-ready code
- On-time delivery guaranteed
- Free consultation before you order
Not sure which package fits your needs?
Message me before ordering. I will guide you to the
right solution.
Let's build something powerful together!
Get to know Abdul Rehman
AI ML Engineer, Computer Vision, YOLO, Deep Learning, Python
- FromPakistan
- Member sinceAug 2024
- Avg. response time1 hour
Languages
English, Urdu, French, German
FAQ
What information do I need to provide to get started?
You need to provide your dataset (images or video), the list of object classes you want to detect, and your preferred output format. If you do not have a dataset, I can guide you on how to collect and prepare one.
Which YOLO version do you use?
I work with YOLOv5 and YOLOv8 depending on your project requirements. YOLOv8 is recommended for most projects as it offers better accuracy and speed. I will recommend the best version for your specific use case.
Can you work with a small dataset?
Yes. I use data augmentation techniques to improve model performance even with limited data. However, a minimum of 100 images per class is recommended for acceptable accuracy. Message me with your dataset size before ordering.
What formats will you deliver the final model in?
I deliver the trained model weights in PT, ONNX, or TensorFlow SavedModel format depending on your deployment needs. Full source code, inference script, and documentation are included based on your package.
Can you deploy the model to my server or cloud?
Yes. I can deploy your model using FastAPI or Flask as a REST API. Cloud deployment on AWS, Google Cloud, or a VPS is available in the Premium package. Message me to discuss your deployment environment.
How accurate will the model be?
Accuracy depends on dataset quality and size. With a clean, well-labeled dataset of 200 or more images per class, typical mAP scores range from 85 to 95 percent. I provide a full evaluation report with every delivery.
Do you offer revisions if the model does not perform well?
Yes. I offer revisions based on your package. If the model underperforms due to issues on my end, I will retrain and reoptimize at no extra cost. Performance issues caused by poor quality datasets may require additional work.
Can you detect multiple object classes at the same time?
Yes. YOLO is designed for multi-class detection. Basic package supports up to 5 classes, Standard supports up to 15 classes, and Premium supports 20 or more classes simultaneously in real-time.
Do you provide the source code with the project?
Clean and well-commented source code is included in Standard and Premium packages. Basic package buyers can add source code and model weights for an additional $30 using the gig extra.
I am not sure which package is right for me. What should I do?
Send me a message before ordering. Describe your project, dataset size, number of classes, and how you plan to use the model. I will recommend the right package and make sure you get exactly what you need.

