I will develop high accuracy custom yolo object detection models for images and videos


About this gig
Professional Custom Object Detection Service for Your Business
Are you looking to automate quality control, monitor surveillance footage, or analyze visual data?
I specialize in building highly accurate and fast custom object detection models tailored to your specific needs. Using state-of-the-art deep learning frameworks like YOLOv8, YOLOv9, and SSD, I will deliver a model that works seamlessly with your images and videos.
Why Choose Me?
Expert Model Selection: I will choose the best architecture (YOLO, SSD, etc.) for your specific task, balancing speed and accuracy.
High Performance: I focus on achieving a high mAP (mean Average Precision) to ensure your model is reliable.
End-to-End Service: From dataset preparation and annotation guidance to model training, testing, and deployment advice.
Fast Delivery & Real-Time Ready: Optimized models capable of running in real-time for applications like live video streams.
Ongoing Support: I provide clear instructions and support to help you integrate and use the model.
Common Use Cases I Serve:
- Inventory Management and Retail Analytics
- Medical Image Analysis (e.g., detecting specific cells or conditions)
- Agricultural Monitoring
Get to know Awais
Building Intelligent Systems with Machine Learning and Computer Vision
- FromPakistan
- Member sinceNov 2020
- Last delivery3 months
Languages
Urdu, English, French
FAQ
What will I receive upon delivery?
You will receive the trained model file (e.g., .pt for PyTorch, .h5 for TensorFlow), a test report showing the model's performance (accuracy, mAP), and a clear guide on how to load and run the model for inference on new images/videos.
How accurate will my model be?
A: Accuracy depends heavily on the quality and size of your dataset. I guarantee a performance target for each package (e.g., >80% mAP for Standard). I will work iteratively to achieve the highest possible accuracy for your project and provide a full performance report upon delivery.

