iammkullah/deep-learning-with-pytorch-image-segmentation

Understand the Segmentation Dataset and you will write a custom dataset class for Image-mask dataset. Additionally, you will apply segmentation augmentation to augment images as well as its masks. For image-mask augmentation you will use albumentation library. You will plot the image-Mask pair. Load a pretrained state of the art convolutional neural network for segmentation problem(for e.g, Unet) using segmentation model pytorch library. Create train function and evaluator function which will helpful to write training loop. Moreover, you will use training loop to train the model.

Muhammad Kaleem Ullah

Data Scientist / Data Analytics / Computer Engineer

📧 : [email protected] | 📞 : [phone]

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About Me

A passionate data scientist with experience of more than 1 year in the fields of e-commerce, Amazon, Walmart, eBay, Shopify, stock exchange, and cryptocurrency. Skilled in Python, Pandas, Numpy, and machine learning model development. Recognized for leadership, and innovation, and a published author committed to contributing valuable insights. Gold Medalist in Computer Engineering, demonstrating academic excellence and effective collaboration as a Google Developer Student Club Lead and Google Developer Group Cloud Islamabad.

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Skills

• Programming Languages: C, C++, Python, MATLAB, LabVIEW
• Libraries/Frameworks: Numpy, Keras, Tensorflow, OpenCV
• Version Control: Git, GitHub
• Web Technologies: Web Scraping, Beautiful Soup, Requests, Scrapy, Selenium
• Databases: MySQL, SQLite, MongoDB
• Data Visualization: MS Excel, Power BI, Tableau
• Machine Learning/DL: Deep Learning, Machine Learning, LLM, OpenAI
• Image Processing: Computer Vision

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📫 you can reach me at my email address i.e. [email protected]