Image classification -- 2

Закрито Опубліковано %project.relative_time Оплачується при отриманні
Закрито Оплачується при отриманні

. Download the data-set from : [login to view URL]

2. Augment the data-set to make it efficient against shift, light variation and other noise.

3. Train a transfer learning based classifier to classify images according to benign/malignant given in the Excel file.

4. Train a transfer learning based Semantic segmentation according to the annotation in [login to view URL] file.

5. Upload the assignment on your Github in form of a IPYNB showing results on a few test set images.

Java Python Обробка даних Алгоритм Інтелектуальний аналіз даних

ID Проекту: #21207049

Про проект

6 заявок(-ки) Дистанційний проект Остання активність 4 роки(ів) тому

6 фрілансерів(-и) готові виконати цю роботу у середньому за ₹1383

uzairrzahid

Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machine Більше

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eecs93

My preferred method of freelancing is an interactive approach to project solving. I have an MSEE specializing in Digital Signal/Image/RF Processing. I do my work in MATLAB (expert). I also do Python programming.

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soniabaggain

Hi, I have good working experience with Image recognization, Tensorflow, OpenCV, with big datasets as well. I have done some successful ML/AI projects as well. If needed, I can explain each and every bit of deep deta Більше

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Prajjwal1130

Hi,I am prajjwal sharma I have good experience of computer programming and have learnt languages also in programming and designing I have good knowledge pictures

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maroosankit

I am an experienced data scientist with hands on expertise on image classification using CNN , Siaemese Network etc. Pretty confident to complete this on time and share the results .

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