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I will do deep learning based clustering for image classificaton
Bangladesh
About me
About this Gig
Are yooking to build a self-supervised learning (SSL) model and uncover meaningful clusters in your data?
- You are in the right place! I am a Deep Learning expert with hands-on experience in SSL, clustering, and downstream task evaluation.
I can work with a variety of image dataset, including:
- ️Medical Imaging (X-Rays, MRI, CT scans)
- ️Agricultural & Plant Disease
- ️Custom Datasets for your unique needs
Why Choose My Service?
- Proven track record with research publications in Q1 journals and international conferences
- Expertise in self-supervised learning, clustering, and model evaluation
- Clean, well-documented code for reproducibility
- Focus on robust performance and interpretable results
What I Deliver:
- A trained SSL model (.pth or checkpoint)
- Developed clusters with clear visualization
- Performance evaluation on downstream tasks (Standard & Premium)
- A comprehensive report on model performance (accuracy, loss graphs, confusion matrix etc.).
- Source code (Notebook/Python).
- A Streamlit Web App for interactive exploration (Premium)
Lets bring your data to life! Message me before ordering to ensure your project requirements are fully understood.
Expertise:
Image processing
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Classification
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Clustering
Programming language:
Python
•
Colab
•
Other
Tools:
Jupyter Notebook
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OpenCV
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Colab
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PyTorch
Frameworks:
PyTorch
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Panda
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Other
FAQ
What type of datasets can you work with?
I can work with any type of image dataset, including medical images, satellite images, product images, or personal/custom datasets.
Do I need to provide a dataset?
Yes. if you want the model trained on your data (products, faces, documents, etc.), you must provide the images. If you don’t have a dataset, I can help collect or source one for an additional fee. Message me first!
Do I need labeled data?
No, self-supervised learning does not require labeled data. However, labels may be needed if you want evaluation on a downstream task (Standard & Premium packages).
Are there any limitations on dataset size?
I typically work with datasets that fit in available GPU memory for example Colab and Kaggle GPU. For very large datasets, we can use strategies like sampling, batching, or distributed processing.
What deep learning models do you use?
I use state-of-the-art Self Supervised Learning (SSL) models such as SimCLR, BYOL, Barlow Twins.
Will I be able to use the model easily?
es! For the Premium package, I provide a user-friendly Streamlit web app to interactively explore clusters and test downstream tasks.
Can you evaluate the model’s performance?
Yes, I provide detailed evaluation metrics on downstream tasks, including accuracy, loss, and visualizations of clusters.
Do you ensure confidentiality?
Yes, completely. Your data and project details are kept strictly confidential.

