I will build a yolo object detection system using python
AI Engineer , Python , Machine Learning , Automation
About this Gig
Do you need a custom YOLO object detection system for images, videos, CCTV, or real-time applications?
I will build a Python-based Computer Vision solution using YOLO, OpenCV, and related AI technologies according to your requirements.
What I can provide:
Custom YOLO object detection
Person detection
Vehicle detection
Custom object detection
Image and video detection
Real-time detection
CCTV / RTSP detection
Object counting
Dataset integration
Model training and testing
OpenCV integration
Python source code
Technologies: Python, YOLO, Ultralytics, OpenCV, PyTorch.
I can work with your existing dataset or help you prepare the required dataset structure.
Please contact me before placing an order and share your requirements, sample images/videos, or dataset.
APIs:
Other
Programming language:
Python
•
SQL
•
Colab
Tools:
Jupyter Notebook
•
OpenCV
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TensorFlow
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Excel
•
PyTorch
•
Other
Frameworks:
Scikit-learn
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SimpleCV
•
PyTorch
•
Panda
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What can you detect with YOLO?
I can build YOLO models to detect custom objects based on your dataset and project requirements, including objects in images, videos, CCTV footage, and camera streams.
Can you train YOLO on my custom dataset?
Yes. You can provide your dataset and target object information. I can prepare the data and train a suitable YOLO model according to the selected package.
Can you work with CCTV or video footage?
Yes. I can develop object detection solutions for images, recorded videos, CCTV footage, and real-time camera streams.
Do you provide the trained model and source code?
Yes. Trained model files and source code are provided according to the selected package.
Can you integrate YOLO with an API?
Yes. API integration is available in the Premium package when required.
What do you need before starting?
Please provide your dataset, target objects, expected output, project requirements, and any reference examples or existing code.

