https://github.com/kimaruthagna/picture-lytics

Using Google's teachable machine to generate an image classification model and serving the model via streamlit. The classification tasks will be brain MRI tumor classification and Plant disease classification
https://github.com/kimaruthagna/picture-lytics

classification-tasks heroku machine-learning picture-lytics plant-disease-classification streamlit teachable-machine

Last synced: 28 days ago
JSON representation

Using Google's teachable machine to generate an image classification model and serving the model via streamlit. The classification tasks will be brain MRI tumor classification and Plant disease classification

• Host: GitHub
• URL: https://github.com/kimaruthagna/picture-lytics
• Owner: KimaruThagna
• Created: 2020-04-25T12:32:03.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-11-21T22:43:04.000Z (about 2 years ago)
• Last Synced: 2023-03-05T12:26:23.002Z (almost 2 years ago)
• Topics: classification-tasks, heroku, machine-learning, picture-lytics, plant-disease-classification, streamlit, teachable-machine
• Language: Python
• Size: 5.06 MB
• Stars: 8
• Watchers: 1
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Picture-lytics

Using Google's teachable machine to generate an image classification model and serving the model via streamlit. The classification tasks will be brain MRI tumor classification and Plant disease classification 


# Links to datasets used: 


1. Plant disease dataset: https://www.kaggle.com/vipoooool/new-plant-diseases-dataset 


2. Brain tumor dataset: https://www.kaggle.com/navoneel/brain-mri-images-for-brain-tumor-detection 


# Teachable Machine.

An amazing online tool that allows one to train and download an image, sound or pose classifier. 


Checkout the repo under the screenshots folder of the tool in action.
 Link: https://teachablemachine.withgoogle.com/