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I will develop computer vision and yolo object detection models
Building efficient, accurate, and intelligent AI models
Hi, I'm Abdul Hameed AI/ML Engineer with 4+ years in Deep Learning, NLP & Computer Vision.
I build: facial emotion & expression analysis from video, face recognition (ArcFace), speech-to-text pipelin...
About this Gig
I will build custom Computer Vision and YOLO object detection models tailored to your project, dataset, and real-world requirements.
My Services:
Custom YOLO object detection and classification
Real-time CCTV, IP camera, and video analytics
Object tracking, counting, and segmentation
Pose estimation and action recognition
Fall, weapon, and aggressive behavior detection
Dataset preprocessing, augmentation, and model training
Model optimization and ONNX deployment
What You'll Get:
Custom-trained AI model
Python source code and inference script
Model testing and evaluation report
Trained weights and technical documentation
Deployment-ready setup based on your package
Technologies: Python, PyTorch, TensorFlow, OpenCV, YOLO, and ONNX Runtime.
I focus on building practical Computer Vision solutions for security, industrial monitoring, automation, and research projects. Model performance depends on dataset quality, labeling, and project complexity.
Whether you have an existing dataset or need a custom detection solution, I can help you develop the right model.
Please message me before ordering to discuss your dataset, target objects, and project requirements.
Programming language:
Python
•
MATLAB
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SQL
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Colab
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MLflow
Frameworks:
Scikit-learn
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DeepPy
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SimpleCV
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PyTorch
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Panda
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TensorFlow
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Which YOLO versions do you support?
I can work with compatible YOLO versions, including YOLOv8 and YOLO11. I can recommend a suitable version based on your dataset, accuracy requirements, and deployment hardware.
Do you provide dataset annotation?
Dataset annotation can be discussed as an additional service. Please share your image count, target classes, and current annotation status so I can estimate the scope.
Can you train on custom datasets?
Yes. I can train a custom model using your dataset. Results depend on data quality, class balance, annotation accuracy, and the complexity of the detection task.
Do you deploy models?
Yes. I can prepare inference code and deployment-ready model files. API, cloud, edge-device, or production integration requirements should be discussed before ordering.
What will I receive?
Deliverables depend on your package and may include trained model weights, Python source code, inference scripts, evaluation results, and documentation.
Do you provide deployment support?
Yes, deployment support is available depending on the selected package and target environment. Please share your hardware, operating system, and integration requirements before ordering.
