I will build custom yolo object detection and computer vision solutions

China

I speak English

Computer Vision and Machine Learning Engineer

I turn camera footage and time-series data into practical AI solutions—from dataset preparation and training to deployment on Rockchip devices with Python and C++. My projects include YOLO detection,...
About this Gig

Please contact me before ordering. Each package covers one agreed task. Dataset size, annotation requirements, target classes or keypoints, deliverables, and deployment requirements must be confirmed before work begins. Existing datasets are subject to availability and licensing.

Typical scenarios include, but are not limited to:

  • Industrial quality inspection defect detection, surface anomaly recognition, assembly verification, and production-line visual inspection.
  • Retail store monitoring customer flow analysis, shelf and inventory monitoring, queue detection, and suspicious-behavior alerts.
  • LLM deployment for event recognition (Qwen3B / 3.5B) deploying and fine-tuning Qwen3B or 3.5B-scale models for event understanding, text-based event extraction, and intelligent alerting.
  • Traffic recognition vehicle detection, license plate recognition, traffic-flow counting, violation detection, and road-scene understanding.
  • Work-safety monitoring PPE compliance (helmets, vests, gloves), dangerous-area intrusion, fire and smoke detection, fall detection, and unsafe-behavior recognition.


Expertise:

Image processing

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Feature learning

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Classification

Programming language:

Python

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SQL

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NoSQL

Tools:

Jupyter Notebook

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TensorFlow

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Excel

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Amazon SageMaker

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SimpleCV

Frameworks:

Scikit-learn

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DeepPy

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Keras

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PyTorch

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Panda

My Portfolio