I will build a custom yolo object detection and tracking system

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Pakistan

Ich spreche Englisch

Computer Vision Engineer, YOLO, Object Detection and Tracking

Need a computer vision solution beyond a demo? I build object detection, multi object tracking, video analytics, edge AI, and real time inference systems using Python, YOLO, OpenCV, PyTorch, TensorFlo...
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Need a YOLO system that works beyond a notebook?


I build custom computer vision solutions for object detection, multi object tracking, image and video analytics, and deployment. I can help you evaluate a pretrained model, fine tune YOLO on your labeled data, build inference pipelines, integrate ByteTrack or DeepSORT, expose predictions through FastAPI, and prepare deployment for compatible cloud or NVIDIA Jetson environments.


My PyroVision fire and smoke system combined YOLO11, ONNX Runtime, FastAPI, and Next.js. It achieved 0.7642 mAP50 on a held out D Fire test set and measured 37.642 FPS on a versioned CUDA video benchmark.


You will receive:

Clear scope and technical plan

Reproducible Python source code

Model evaluation and annotated outputs

Setup instructions and documentation

Package specific API or deployment support

Before ordering, please message me with your use case, sample data, class list, target hardware, required FPS, and success criteria. Custom training requires a labeled dataset. Deployment depends on your environment and account access.


Let us define a first milestone that proves feasibility before scaling.

APIs:

Microsoft Computer Vision AI

Expertise:

Bildverarbeitung

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Feature-Lernen

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Klassifizierung

Programmiersprache:

Python

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SQL

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Colab

Tools:

Jupyter-Notizbuch

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opencv

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tensorflow

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SimpleCV

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Colab

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PyTorch

Frameworks:

scikit-learn

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DeepPy

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keras

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PyTorch

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Panda

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