I will build a custom computer vision object detection model
About this Gig
I build custom computer vision models that detect, classify, and track objects in your images or video reliable enough to run in production, not just a notebook demo.
Send me your images or video and tell me what you need detected (products, defects, people, PPE, specific objects), and I'll train a model tuned to your data and conditions.
What you get:
- A trained detection model (YOLO / PyTorch) in your preferred format (.pt, .onnx, .tflite)
- Clean inference code to run it on new images or a camera feed
- An accuracy report on your validation data
- Documentation to run and retrain it
I specialize in real-time, edge-ready computer vision object detection, image classification, measurement, and anomaly/defect inspection optimized with OpenCV, NVIDIA Triton, and CUDA.
New here, but not new to the field: I've built and deployed production vision systems for heavy industry (safety monitoring, measurement, inspection).
Message me with your use case before ordering so I can confirm scope and deliver the best result.
APIs:
Other
Programming language:
Python
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Colab
Tools:
Jupyter Notebook
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OpenCV
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TensorFlow
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Colab
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PyTorch
Frameworks:
Scikit-learn
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Keras
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PyTorch
•
Panda
FAQ
What do you need from me to start?
A set of sample images or a short video, plus a clear description of what you need detected. Representative samples give the best model.
What format will I deliver the model in?
Whatever you need: PyTorch (.pt), ONNX, or TFLite for edge/mobile — plus inference code and documentation.
Can it run in real time or on an edge device?
Yes. I optimize for real-time inference and edge devices (e.g., NVIDIA Jetson) using ONNX/TensorRT.
What if computer vision isn't the right fit?
I'll tell you honestly. The Basic package is a low-cost proof-of-concept so you get a go/no-go before committing to a full build.
How many object types can you detect?
Basic = 1, Standard = up to 3, Premium = multi-class. Need more? Message me for a custom quote.

