Django application to generate food ingredients from food image using fine-tuned ResNet50
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Updated
Nov 21, 2022 - Jupyter Notebook
Django application to generate food ingredients from food image using fine-tuned ResNet50
Small and easily modifiable notebook to extract embeddings from pre trained resnet50
In this notebook, I employed built-in Keras Sequential model and pretrained ResNet50 model using Pytorch to perform segmentation of satellite images of water bodies.
Repo of all deep learning models
A Beginner's Image Recognition Challenge in Python Tensorflow: Read README for more details on the project and on how to use notebook.
A comparison of model types (both from scratch and pretrained) for classifying different types of waste. This project was developed for the Computational Intelligence and Deep Learning Course, MSC in AIDE at the University of Pisa.
This is a binary classification notebook for COVID-19 detection based on combined dataset of Thorax Scan.
In this repository ,we try to developed medical based disease detection system. We use ML algorithm cnn,Opencv etc. As editor use jupyter Notebook, VS code , Vim.
Jupyter notebook exploring the prediction of the dog breed of a dog given its image. The notebook uses Keras to build a few Convolutional Neural Networks and eventually explores transfer-learning from ResNet50 for the final model. If submitted an image of a human it will predict what breed this person looks more alike.
Developed a and Cover Classification system using Satellite Image Processing with the help of Remote Sensing images. The system can classify between Forest land, Agricultural of Paddy fields nd Urban areas from a given Dataset. All the step by step procedure has been done and executed in the Jupyter notebook. The system can also clasify the Land…
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