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I will do image classification project using deep learning
About me
I am a Deep Learning and Computer Vision expert with experience in image classification and related tasks. My expertise covers both supervised and advanced approaches such as semi-supervised learning ...
Acerca de este Servicio
Are you looking for a reliable deep learning solution for image classification?
- You are in the right place! I am a Deep Learning and Computer Vision expert with experience in building high-performing image classification models.
I can work with a wide variety of image types, including:
- ️Medical Imaging (X-Rays, MRI, CT scans)
- ️Agricultural & Plant Disease
- ️Facial Expression & Emotion
- ️Custom Datasets for your unique needs
Why Choose My Service?
- Proven track record with research publications in Q1 journals and international conferences
- Experience in supervised, semi-supervised, and self-supervised learning
- Clean, well-documented code with clear instructions
- Focus on accuracy, reliability, and interpretability
What I Deliver:
- A fully trained model (.pth file).
- A comprehensive report on model performance (accuracy, loss graphs, confusion matrix etc.).
- Source code (Notebook/Python).
- Grad-CAM Heatmaps (Standard & Premium) to visualize model focus areas.
- A deployable Flask Web App (Premium) for image uploads and classification.
Let's discuss your project! Please message me before ordering to ensure I can meet your requirements and deadlines.
Lenguaje de programación:
Python
•
Colab
Herramientas:
Jupyter Notebook
•
opencv
•
Colab
•
PyTorch
•
Otros
Marcos:
keras
•
PyTorch
•
Panda
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!
Are there any limitations on dataset size?
I work using Kaggle GPUs, so extremely large datasets may be challenging. For very large datasets, we can discuss solutions like sampling or splitting the data.
Do I need to provide labeled data?
Yes, labeled data is necessary for supervised image classification tasks.
What deep learning models do you use?
I use both pre-trained CNN models like ResNet, VGG, EfficientNet, and also custom CNN models depending on your requirements and dataset.
Will I be able to use the model easily?
Absolutely. For higher packages, I can provide a user-friendly Flask web application so you can test and use the model interactively.
Do you ensure confidentiality?
Yes, completely. Your data and project details are kept strictly confidential.
