I will build custom computer vision and yolo object detection models

Parte de la información aparece en idioma inglés.

Pakistán

Hablo Urdu, Inglés

1 pedido completado

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...
Acerca de este Servicio

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.

Experiencia:

Procesamiento de imágenes

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Clasificación

Lenguaje de programación:

Python

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MATLAB

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SQL

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Colab

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MLflow

API:

Microsoft Computer Vision AI

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Amazon Rekognition

Herramientas:

Jupyter Notebook

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opencv

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OpenNN

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TensorFlow

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MLflow

Marcos:

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

Mi porfolio

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