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I will build custom yolo object detection and computer vision pipelines
Tbiocanin
About this gig
Need a reliable object detection system tailored to your use case? I build production-grade computer vision pipelines using YOLOv8/v11, OpenCV, and PyTorch from dataset annotation to model training, evaluation, and deployment. I've implemented EuroNCAP-compliant driver monitoring systems and real-world lane departure warning solutions at Bosch and Novelic.
Whether you need a custom-trained detector, a real-time inference system, or an optimized edge deployment, I deliver clean, well-documented code that works in the real world.
Get to know Tbiocanin
Tbiocanin
AI Robotics Engineer with hands on experience on perception and realtime system
- FromSerbia
- Member sinceApr 2025
- Avg. response time1 hour
- Last delivery5 days
Languages
English, German
Highly motivated Software Engineer with experience in multiple fields - primarily in the domain of ML/AI, Embedded Software Engineering, but also with experience with Mobile Software development.
FAQ
What does the basic package include?
Mainly, for a fast solution only to have a working model within the application, basic package supports that.
What is meant by model size optimization?
Initial model size may in some applications be insufficient. There are methods that can be applied additionally to reduce the size to some reasonable extend without braking the performance.
What is meant by model performance?
If the model is used for custom hardware (eg. GPUs) there are methods and frameworks that can be included so that the inference time can be shortened. Thus improving the workflow, with an addition of other software solutions that can be taken into account.
Do I need to have a model already trained?
Not necessarily. If you have the data prepared, the model training and validation can be included.
