Enhancing a Segmentation Model for SAR Images

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enhancing a Segmentation Model for SAR Images

enhance a Unet segmentation model for SAR images. The main objective of this project is to increase the accuracy of the model.

Ideal Skills and Experience:
- Strong background in machine learning and deep learning algorithms
- Expertise in image segmentation and optimization techniques
- Proficient in Python programming language and related frameworks such as TensorFlow, Keras, and PyTorch.
- Familiarity with SAR images and their unique characteristics

The project will involve the following tasks:
- Analyzing the current Unet segmentation model and identifying areas for improvement
- Implementing and testing different optimization techniques to improve model accuracy
- Evaluating the performance of the optimized model using appropriate metrics
- Providing recommendations for further improvements based on the results       the link to the dataset
https://drive.google.com/drive/folders/1S_kqZ163fdla3Ad2V2VZOj0TG-memf-I?usp=sharing this project accuracy is like the best but it uses pytorch but the way it's loading the data is pretty good and don't overflow my memory but it's very complicated
https://github.com/AbhishekRS4/HTSM_Oil_Spill_Segmentation    

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