Greetings, I'm Imad Ud Din, 

I am a freelance AI-powered computer vision solutions developer with over 4 years of experience. I have a proven track record of helping businesses of all sizes to improve their efficiency, productivity, and profitability with AI-powered computer vision solutions.

I specialize in developing Python-based AI-powered computer vision solutions for a variety of tasks, including:

• Object detection and tracking
• Image classification
• Image segmentation
• Image Generation
• Barcode Generation
• Optical Character Recognition
• Image Padding
• Video analysis

I can also develop custom AI-powered computer vision solutions to meet your specific business needs.

Why hire me?

• I have a deep understanding of AI and computer vision principles and techniques.
• I am proficient in Python, the most popular language for AI and computer vision.
• I have a proven track record of success in developing and deploying AI-powered computer vision solutions for a variety of businesses.
• I am committed to delivering high-quality solutions that meet my clients' specific needs.

I am available to discuss how I can help you to achieve your business goals with AI-powered computer vision solutions.

Tools:

• Detectron2: Detectron2 is a Facebook AI Research open-source library for object detection and segmentation. It is built on top of PyTorch and          provides a number of state-of-the-art pre-trained models.

• YOLOR: YOLOR is a Google AI Research open-source library for object detection and tracking. It is known for its speed and accuracy, making        it well-suited for real-time applications.

  • PyTorch Lightning: A Python library that makes it easy to train and deploy PyTorch models. It provides a number of features that make it well-          suited for computer vision tasks, such as automatic batching, distributed training, and model checkpointing.
  • Hydra: Hydra is a Python library that makes it easy to configure and manage complex experiments. It is well-suited for computer vision                    experiments, which can often involve many different parameters and configurations.

    • OpenCV: Open-source computer vision library that has been around for over 20 years. It provides a wide range of        functions for image                processing, video analysis, and feature detection.

• Scikit-image: Open-source Python library for image processing. It provides a variety of functions for tasks such as image filtering,                              segmentation,  and measurement.
• TensorFlow: Machine learning library that can be used for computer vision tasks such as object detection, image classification, and image                segmentation. It has been around for over 5 years and is used by a wide range of companies and organizations.
• PyTorch: Machine learning library that can be used for computer vision tasks. It is known for its simplicity and flexibility. It has been around for          over 5 years and is used by a wide range of companies and organizations.