I will build custom object detection and face recognition apps using yolo11
AI Engineer for Computer Vision and Generative AI
About this Gig
Are you struggling to get accurate detections or looking to automate a visual task?
I am a Computer Vision engineer specializing in YOLO11 and State-of-the-Art Face Recognition. I don't just write code; I build robust systems that work in real-world conditions, handling occlusion, low light, and moving targets.
My Core Services:
- Custom Object Detection: I will train YOLO11/v8 to detect your specific objects (e.g., defects, vehicles, logos, weapons).
- Object Tracking: Preventing "flickering" detections using DeepSort or ByteTrack for counting and trajectory analysis.
- Face Recognition: Secure attendance systems, access control, or VIP identification using InsightFace or FaceNet (Liveness detection included).
- Pose Estimation: Gym form analysis or gesture control.
What You Get With Every Order:
- Annotated Data Review: I check your data quality before training.
- Training Metrics: Confusion matrix and mAP graphs to prove accuracy.
- Inference Script: Clean Python code to run the model on images/video/webcam.
Recent Projects:
- Automated License Plate Recognition (ALPR)
- Employee Face Attendance System with Anti-Spoofing
- Construction Site Safety (PPE Detection)
APIs:
Other
Programming language:
Python
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SQL
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Colab
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MLflow
Tools:
Jupyter Notebook
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OpenCV
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TensorFlow
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CVAT
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Colab
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PyTorch
Frameworks:
Scikit-learn
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Keras
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PyTorch
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Panda
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Other
My Portfolio
FAQ
Do I need to provide the dataset?
Ideally, yes. If you don't have images, I can help collect and annotate them for an extra fee (please contact me first).
Can this run on my laptop/CCTV?
Yes! I optimize models (using YOLO-Nano or Small versions) to run smoothly on standard CPUs or even Raspberry Pi/Jetson devices.
Which YOLO version do you use?
I use the latest YOLO11 for the best speed/accuracy balance, but I can also use v8, v5, or v7 if your project requires it.

